data model

Data Model

This page describes the project file format, the in-memory data structures, and the full lifecycle from loading to saving.

Project File Format

A project is a single JSON file with this shape:

{
  "version": 1,
  "config": {
    "schema": [ /* AnnotationDef[] — the taxonomy. Ignored + derived when "screening" is set */ ],
    "ai": false,       // optional; false disables AI-assisted annotation for this project
    "reviewers": 3,    // optional; >1 turns on independent multi-reviewer annotation
    "screening": { "reasons": ["Wrong topic", "Duplicate"] }  // optional; see "Screening" below
  },
  "papers": [ /* Paper[] */ ],
  // any other top-level keys are preserved verbatim on save
}

config.ai defaults to true. When false, the ✦ AI button is disabled (with a hover note that the provider turned it off); the loader reads it into Project.aiEnabled, and serializeProject writes it back only when disabled, so a normal file stays clean. The project editor edits it as a checkbox.

config.reviewers defaults to 1 (single-reviewer — every paper carries one annotations tree and nobody picks a reviewer). A value from 2 to 10 turns on independent multi-reviewer annotation: each reviewer 1..N annotates into their own tree (Paper.reviews["N"]), and a built-in Consolidation role (not counted in reviewers) reconciles them into Paper.annotations, which remains the single, final result — see "Multiple reviewers & Consolidation" below. serializeProject/buildProjectJson write config.reviewers only when it is greater than 1, so a single-reviewer file is unaffected byte-for-byte. The project editor edits it as a checkbox + number field next to the AI opt-out.

AnnotationDef (src/model/schema.ts)

Each schema node defines a field or group in the taxonomy:

Property	Required	Default	Meaning
name	yes	—	Display label; must be unique among siblings
type	no	(group)	"string" | "number" | "boolean". Omit for a name-only group node
children	no	[]	Sub-taxonomy. A node may have type, children, or both
min	no	1	Minimum occurrences
max	no	1	Max occurrences: a positive integer, or null for unbounded
options	no	—	Array of strings on a string field → renders as a filterable enum dropdown (ComboBox). Only valid when type is "string"
description	no	—	Optional tooltip text

Validation rules (enforced by zod in annotationDefSchema):

• name must be a non-empty string
• max must be ≥ min (when max is not null)
• A node must have a type or non-empty children (a name-only node with neither is rejected)
• options is only allowed on a type: "string" node; using it on any other type (or a group) is a schema error
• Sibling names must be unique (enforced during resolution, not zod)

Paper

{
  "id": "paper-a",            // unique across all papers
  "title": "…",
  "authors": ["…"],           // defaults to []
  "doi": "10.1000/xyz",       // optional
  "abstract": "…",            // optional; what screening reads when there is no PDF (see "Screening" below)
  "pdf": "pdfs/paper-a.pdf",  // path relative to the project JSON file; "" only valid in a screening project
  "annotations": {},          // the consolidated result — filled in as you annotate
  "reviews": {                // optional; each independent reviewer's own tree, multi-reviewer only
    "1": { /* AnnotationValueTree */ },
    "2": { /* AnnotationValueTree */ }
  },
  // any other keys preserved verbatim on save
}

The samples/project.example.json file shows a complete working example with a schema containing boolean, string, number, repeatable group, and bounded group nodes.

In-Memory Types

ResolvedDef (src/model/schema.ts)

When a project is loaded, raw AnnotationDef[] are resolved into ResolvedDef[] via resolveSchema(). Resolution:

• Applies defaults: min → 1, max → 1 (if undefined)
• Assigns a stable id derived from the node's path (slash-joined names, e.g. "Findings/Claim")
• Enforces sibling-name uniqueness (throws SchemaError)
• Passes through options (if present) for enum string fields
• Recursively resolves children

Project and Paper (src/model/project.ts)

interface Project {
  version: number
  title?: string
  schema: ResolvedDef[]
  aiEnabled: boolean              // config.ai; true unless the file opts out
  reviewers: number                // config.reviewers; 1 (default) = single-reviewer
  papers: Paper[]
  screening: ScreeningConfig | null  // config.screening; see "Screening" below
  extra: Record<string, unknown>  // unknown top-level fields preserved
}

interface Paper {
  id: string
  title: string
  authors: string[]
  doi?: string
  abstract?: string                // what screening reads when there is no PDF; ordinary metadata otherwise
  abstractFromPdf?: boolean        // true when `abstract` was PDF-extracted, not authored; see "Screening" below
  pdf: string
  annotations: AnnotationValueTree          // the single/consolidated result — unchanged in meaning
  reviews: Record<string, AnnotationValueTree>  // each reviewer's own tree, keyed "1".."N"; {} if single-reviewer
  aiUsage: AiUsageRecord[]        // AI-assisted-annotation disclosure log, oldest first; [] if never used
  extra: Record<string, unknown>  // unknown per-paper fields preserved
}

interface AiUsageRecord {
  provider: string    // e.g. "anthropic" — the provider id, not its display label
  model: string        // exactly as configured, e.g. "claude-opus-4-8"
  appliedAt: string    // ISO 8601 timestamp of the Apply click
}

AnnotationValueTree and InstanceNode (src/model/annotations.ts)

Annotation data mirrors the schema. At each level it is a map keyed by node name; every key holds an array of instances (length bounded by min/max):

interface AnnotationValueTree {
  [nodeName: string]: InstanceNode[]
}

interface InstanceNode {
  value?: FieldValue        // present if the node is a field (has a type)
  children?: AnnotationValueTree  // present if the node has children
}

type FieldValue = string | number | boolean | null

Example annotation tree for the sample schema:

{
  "Relevant": [{ value: true }],
  "Study Type": [{ value: "RCT" }],
  "Year": [{ value: 2021 }],
  "Findings": [
    { children: {
        "Claim": [{ value: "X improves Y" }],
        "Evidence": [{ value: "Section 4" }],
        "Confidence": [{ value: 4 }]
    }},
    { children: {
        "Claim": [{ value: "Z reduces W" }],
        "Evidence": [{ value: "Table 2" }],
        "Confidence": [{ value: 3 }]
    }}
  ]
}

Multiple reviewers & Consolidation

An SLR is normally annotated by ≥2 reviewers independently, then reconciled into one final answer. config.reviewers (≥2) turns this on:

• Each numbered reviewer 1..N reads and writes their own tree, Paper.reviews["N"] — AnnotationValueTree, same shape as annotations. Present as a full, normalized-empty skeleton from the moment the project is loaded (normalizeReviews in project.ts), for every reviewer 1..N whether or not they have written anything — not created lazily on first write. currentTree's create path still exists and still lazily normalizes a genuinely-missing tree, as a defensive fallback; it just no longer does the routine work, since load already has.
• Paper.annotations keeps its existing meaning unchanged: the single/consolidated result. In a single-reviewer project it is the only tree there is; in a multi-reviewer project it is what the built-in Consolidation role writes — the final, agreed answer, and the only tree validateProject, hasAnnotations, and any future export read.
• Consolidation is not one of the N reviewers (it is not counted in config.reviewers) — it is a distinct role that compares every reviewer's answer for a field and picks the one that ships.

Lowering config.reviewers doesn't delete data — it makes it unreachable. parseReviews (src/model/project.ts) keeps any reviews key matching a reviewer number regardless of the current config.reviewers, and serializeProject writes back every key present in Paper.reviews, not just 1..N. So a reviewer's tree above the current count round-trips through load/save untouched — normalizeReviews (below) only ever adds missing keys 1..N, it never removes one outside that range. What changes is reachability: the Toolbar reviewer switch only offers seats 1..config.reviewers, so currentTree is never invoked for a higher one — it can't be selected, edited, or (via runValidation) validated — and alignConsolidationNode/adoptUnanimousValues (both in store.ts) loop 1..project.reviewers, excluding it from matching and unanimous-value adoption too — both also now check hasAnnotations, not mere tree presence, since every in-range reviewer has a tree from load regardless of whether they have written anything. Raising config.reviewers again makes the same tree reachable, unchanged.

Routing. currentTree(project, currentReviewer, paper) in src/state/store.ts is the single place this is decided: single-reviewer → paper.annotations; Consolidation → paper.annotations; a numbered reviewer → paper.reviews[N]; multi-reviewer with nobody picked yet → null (nothing to read or write — an unattributed edit must never land in the shipped tree). Every store action that touches annotation data (setFieldValue, addInstance, removeInstance, applyAiSuggestions, runValidation) routes through this, so "which paper" and "which reviewer" are independent selections: switching reviewer never changes the selected paper, and vice versa.

Reviewer selection (currentReviewer: string | null in the store — "1".."N" or the literal "consolidation") is a view switch, not an edit: it is not an undo step and does not set dirty. It defaults to null (unselected) on load for a multi-reviewer project — never silently to Reviewer 1 — and is persisted per project in localStorage, keyed by the project's save-handle path, so reopening the same file returns to the same seat.

AI marks are reviewer-scoped too. aiMarkKey(paperId, canonicalPath, reviewer) folds the active reviewer into the key for a multi-reviewer project (a single-reviewer project's keys are unaffected — passing null reproduces the original two-part form), so Reviewer 1's "the AI wrote this" borders never bleed onto Reviewer 2's copy of the same field.

Serialization stays clean for a single-reviewer project. config.reviewers is written only when > 1, and Paper.reviews stays {} — omitted entirely — since annotations alone carries the data there, exactly as before this feature existed. For a multi-reviewer project, Paper.reviews is now always written (see "The empty skeleton is real data" below) — every reviewer's tree is pruned the same way annotations is, but the key itself is never omitted just because a reviewer hasn't written anything.

The empty skeleton is real data, not incidental emptiness

A freshly-created paper's annotations — and, in a multi-reviewer project, every reviewer's reviews["N"] — is written to disk as the full normalized skeleton: every field present, at its schema minimum, holding null/false, not {} and not an absent key. This is deliberate, and it is for something specific: a reviewer's first real annotation then changes a value on a line that was already there for every other paper and reviewer, rather than adding a brand-new key. That is what makes a git diff of one reviewer's work legible on its own, and what makes a git merge of two reviewers' independently-annotated copies of the same file tractable instead of a near-guaranteed conflict on the shape of the JSON itself, on top of whatever the reviewers actually disagree about.

It now has a second consumer, and the relationship deserves stating correctly rather than flatteringly. SaiLoR's own git support (see "Merging two copies of a project" below and architecture.md's "Git" section) does not rely on git's line-based merge to succeed — its Pull reads the three revisions of the project file and reconciles them field by field over the parsed project, so its correctness never depended on the file's line structure to begin with. The skeleton was not made redundant by that; it is still doing its original two jobs, and both still matter: it is what makes a plain git diff of one reviewer's work legible on its own, and it is what makes a plain git merge — run from the command line, or by any tool that is not SaiLoR — tractable rather than a conflict on the shape of the JSON, on top of whatever the reviewers actually disagree about.

Two pieces make this hold in practice:

• pruneTree (src/model/annotations.ts) only drops trailing empties, never an interior gap, and never below a node's min. Given an already-normalized (all-empty) tree, it is a no-op — see its own doc comment; this is also why consolidation's entry-matching survives a save/reload round-trip (src/consolidate/apply.ts), which depends on the same interior-gap guarantee.
• normalizeReviews (src/model/project.ts) backfills a normalized-empty tree for every reviewer 1..config.reviewers who doesn't already have one, on load — not on save, and not lazily on first write (see "Multiple reviewers" above). loadProject's existing normalizeTree(schema, p.annotations) call already did the equivalent for annotations; this closes the same gap for reviews.

A file that doesn't have this shape yet is migrated automatically, and re-saved. needsShapeMigration(project, rawText) (project.ts) re-parses the raw text and structurally compares (deepEqualJson — order-independent for object keys, order-sensitive for arrays, i.e. JSON's own equality, never a text/string comparison) each paper's annotations/reviews against what saving right now would produce. loadFromText (store.ts) checks this immediately after loadProject and, if true, writes the migrated shape back through getPlatform().saveProject — but only when there is somewhere safe and unsurprising to write it: a real in-place handle ('electron' or 'fsapi'), never 'download' (which would trigger a browser file download the instant a project is opened) and never a bare null handle (a ?project= URL, or a browser pick with no persistent handle — the project is simply held in its migrated, better shape in memory, which converges again harmlessly next time it's opened). The write is fire-and-forget; on success saveHandle is refreshed the same way an ordinary save updates it, on failure the project is marked dirty so the ordinary unsaved-changes guard — not an alarming banner for a fix nobody asked for — eventually gets it saved.

needsShapeMigration deliberately compares parsed values, not the canonical re-serialization's text against the raw file's text: serializeProject always pretty-prints with its own key order, so a text comparison would flag equal-but-differently-formatted (or merely differently-indented) files as needing migration too — precisely the kind of file every hand-written test fixture in this codebase is, which is how this got caught. The comparison is scoped to exactly annotations and reviews; nothing else about a file's formatting or unrelated content is examined.

Screening

interface ScreeningConfig {
  reasons: string[]   // non-empty, trimmed, deduped by project.ts; order is the order reported
}

config.screening's presence — reflected in Project.screening: ScreeningConfig | null — is what makes a project a screening project. config.schema is not the source of truth for one: it is a derived projection of screening.reasons, produced by screeningSchemaDefs() (src/screening/schema.ts):

[
  { "name": "Decision", "type": "string", "options": ["Include", "Exclude"] },
  { "name": "Reason", "type": "string", "options": ["Wrong topic", "Duplicate", "…"] }
]

Lifecycle step, not a one-off transform. loadProject derives this schema fresh from raw.config.screening on every load and never reads raw.config.schema for a screening project (raw.config.schema! is used only in the non-screening branch, where the zod superRefine guarantees it is present). serializeProject writes the same derived projection back out on every save. There is no code path in which a screening project's config.schema in the file and screeningSchemaDefs(project.screening) can disagree once the file has been re-saved by this app — a hand-edited config.schema in a screening project's file is simply overwritten on the next save, never read.

pdf may be "", but only here. paperSchema.pdf is z.string().default(''); the "non-empty" requirement moved out of the field-level zod schema and into projectSchema's superRefine, which — able to see whether config.screening is set — only enforces it for a non-screening paper. A screening project built from a reference-manager export routinely has no PDFs at all yet, so relaxing this only there (never for an ordinary project) is what makes that workflow possible without weakening the check everywhere else.

screeningStatus(tree) (src/screening/status.ts) reads the tri-state a screening decision actually has:

Decision value	Status
"Include"	included
"Exclude"	excluded
anything else — null, missing, a non-array node, an unrecognised string	undecided

The last row is deliberate and conservative: the file is hand-editable, and an unrecognised decision is not a decision — it must never be misread as excluded (which would silently drop the paper from an import) or as included (which would silently claim a paper was screened when it was not). undecided is the only safe default for anything this function cannot make sense of.

screeningCounts() (src/screening/counts.ts) is the total/included/excluded/undecided + per-reason breakdown behind ScreeningSummary; it reads through the same seat routing currentTree uses (reimplemented locally as seatTree, to keep src/screening/ free of a state/store.ts import — the same precedent consolidate/readiness.ts and consolidate/disagreements.ts already set). pendingUnanimous() counts papers every reviewer decided identically that Consolidation has not adopted yet (see the architecture page's "Screening" section for why that gap exists).

abstractFromPdf is a durable disclosure, the same idea aiUsage embodies for AI-assisted annotation, applied to a basic text heuristic instead of a model. Paper.abstract can be filled by a heuristic that reads a PDF's own text (pdfMeta.ts's abstractFromLines — find the "Abstract" heading and follow its column to the next section) rather than by a human or a reference-manager export, and when it is, abstractFromPdf: true is written into the file right alongside it — never a session-only flag, so a co-reviewer opening the file later sees the same "unverified, check the PDF if in doubt" warning the extracting session did. loadProject drops the flag whenever abstract itself is empty (a flag with nothing to describe is meaningless, most likely a stale or hand-edited file), and a later reference-manager import is the one thing allowed to overwrite an abstractFromPdf-flagged value — every other paper field a reviewer might have typed is left alone. See the architecture page's "A missing abstract is extracted from the PDF, and flagged durably" for the full design (both call sites, and why this writes immediately rather than behind a confirmation step the way AI suggestions do).

Merging two copies of a project

src/git/merge.ts's mergeProjects(base, ours, theirs) is a three-way merge over three parsed Projects — not over the file's text — driven by git's Pull. This is the data-model view of what it does; architecture.md's "Git" section covers the plumbing that gets it there.

The identity a field is merged under is (paper id, tree, canonical field path). canonical is formatPath's form (src/llm/paths.ts), e.g. "Findings[1]/Claim" — but the path alone is not sufficient: the identical path exists once in annotations and once in every reviews[N], so which tree it lives in ({kind:'annotations'}, {kind:'review', reviewer:'2'}, {kind:'paper'} for title/pdf/doi/authors, or {kind:'project'} for the project's own title) is part of the key. Two conflicts on the same canonical path in different trees are different conflicts.

The one rule: a side that did not change a value away from the merge base does not get a vote on it. A field only one side changed takes that side's value automatically; a field both sides changed to the same thing is not a conflict either; only a field both sides changed to different things becomes one — the one case nothing but a person can settle. This is exactly the guarantee the feature exists to make: pulling can never silently discard a reviewer's own change to a field the remote never touched.

Absent reads as empty. A field with no instance at that index reads the same as an instance whose value is the schema's empty value (null/false) — required because pruneTree already treats those two as the same thing on disk (see above), so a merge that told them apart would treat a field one side simply hasn't reached yet as a conflict against a value the other side actually wrote. This is also what makes instance removal need no special handling at all: an entry one side deleted reads as all-empty on that side, the field-level rule takes the empties (since the other side didn't change it either), and the ordinary trailing-empty prune drops the now-trailing instance on the next save — deletion falls out of the same rule that handles an ordinary edit.

Papers merge by id, in ours' own order followed by the papers only theirs has (in theirs' order). A paper one side deleted and the other side changed is kept, with a note — a field-level UI has no way to ask "keep or delete this whole paper", and the two failure directions are not symmetric (an unwanted kept paper is one click from gone; deleted annotated work is simply gone). Only when the side that kept the paper made no actual change to it does the deletion go through.

reviews is never deleted by a merge — only by both sides having already dropped a reviewer's key, the same rule normalizeReviews already applies when config.reviewers is lowered (see above). A reviewer's tree is someone's labour, which is why this is treated differently from a paper: a project's papers are the project author's call; a reviewer's answers are not anyone else's to delete by implication.

Paper.aiUsage is a union, not a three-way merge, and does not consult the base: it is an append-only disclosure log with no delete operation the app exposes, so a record either side still holds must survive regardless of what the merge base looked like — three-way logic could otherwise drop a genuine disclosure and misreport how AI was used on a paper.

Paper.equal is a set, merged per-path the same way an ordinary field is (merge3<boolean> on "does this path's mark include this reviewer's declaration"). A boolean has only two values, so "both sides changed it, differently" cannot happen — a mark can never conflict.

What refuses, rather than guessing. A change to version, config.schema, config.ai, config.reviewers, config.screening, or a root/paper extra key, made differently on both sides, refuses the whole merge and names what could not be reconciled, instead of picking a field-level answer for something that reshapes the file — most obviously the schema (and, for the same reason, config.screening: whether a project screens at all, or its reason list, decides config.schema via screeningSchemaDefs, so a difference there reshapes the file exactly as directly authoring a different schema would). Project.title is not on this list: it is an ordinary string, a conflict row expresses it perfectly, and refusing a whole merge over two people renaming the review would be absurd.

Testing: src/git/merge.test.ts builds every base/ours/theirs through the real loadProject (never a hand-assembled Project), so fixtures are exactly as schema-normalized and empty-skeleton-shaped as mergeProjects' real caller hands it — and pins the field-level guarantee, the interior-gap and instance-removal invariants, the multi-reviewer case, every refusal, and a full serializeProject/loadProject round-trip of a resolved merge.

Lifecycle: Load → Normalize → Edit → Prune → Serialize

1. Load (loadProject in src/model/project.ts)

1. Parse JSON text (or accept pre-parsed object)
2. Validate against projectSchema (zod) — rejects malformed structure with ProjectLoadError containing friendly details
3. resolveSchema(screening ? screeningSchemaDefs(screening) : raw.config.schema) — applies defaults, assigns ids, enforces uniqueness. For a screening project the schema is derived from config.screening.reasons, never read from config.schema — see "Screening" above
4. Check for duplicate paper IDs
5. For each paper: normalizeTree(schema, p.annotations) — reconcile annotation data against the schema
6. For each paper of a multi-reviewer project: normalizeReviews(p.reviews, schema, reviewerCount) — the same reconciliation per reviewer's tree, plus a fresh empty one for every reviewer 1..N who doesn't have one yet (see "The empty skeleton is real data" above)
7. Extract extra fields (unknown keys at root and per-paper level) for preservation

2. Normalize (normalizeTree in src/model/annotations.ts)

Reconciles an existing (possibly partial or loaded) value tree against the schema:

• Drop keys not in the schema
• Coerce each present instance's structure to the def (ensure value for fields, children for groups)
• Pad up to max(min, 1) instances with fresh makeInstance() calls
• Clamp down to max if exceeded

makeInstance(def) builds a single fresh instance: emptyValue() for fields, initTree(def.children) for children. initTree(defs) creates max(min, 1) instances per sibling.

3. Edit (in the Zustand store)

The store actions setFieldValue, addInstance, and removeInstance mutate the annotation tree via immer. They navigate to the correct container using containerAt(root, path) which follows a PathSeg[] path (name + index pairs). Each mutation sets dirty = true and pushes an undo snapshot onto the store's past stack (consecutive edits to the same field coalesce into one step) — see undo() / redo() in the architecture page.

Cardinality guards:

• canAdd(def, current) — true if def.max === null or current < def.max
• canRemove(def, current) — true if current > max(def.min, 1)

4. Prune (pruneTree in src/model/annotations.ts)

Called during serialization. For each node:

• Keep the first max(min, 1) instances unconditionally
• Drop the empty instances trailing the end of the list (so saved files stay tidy)
• Keep an empty instance that has a filled one after it — position carries meaning. Consolidation records which of each reviewer's entries are the same entry by lining their lists up (src/consolidate/apply.ts), and a reviewer with no entry for the second slot holds an empty one there. Closing that gap would slide every later entry down a slot and silently re-point the alignment on the next load
• An instance is "empty" (isEmptyInstance) if its field value is falsy (boolean: false; others: null/undefined/"") AND all recursive children are empty

5. Serialize (serializeProject in src/model/project.ts)

1. Spread project.extra (unknown top-level fields first)
2. Write version, config (dehydrated schema), papers
3. For each paper: spread paper.extra, write known fields, then pruneTree(schema, annotations)
4. dehydrateSchema() converts ResolvedDef[] back to compact AnnotationDef[] (omits defaults: min: 1, max: 1 are not written back)
5. Output is JSON.stringify(out, null, 2) — pretty-printed with 2-space indent

Error Handling

ProjectLoadError (src/model/project.ts) extends Error with a details: string[] array. It is thrown for:

• Invalid JSON
• Zod validation failures (issues mapped to "path: message" strings)
• Schema resolution errors (duplicate names, max < min, no type/children)
• Duplicate paper IDs

The store catches these and sets loadError state, which ErrorPanel displays as a modal overlay.

Testing

src/model/model.test.ts uses Vitest to test the model layer (and src/state/store.test.ts covers the store's undo/redo history):

• Schema resolution (defaults, ids, duplicate detection, max < min, repeatable detection)
• Annotation tree init (min instances, default values, nested structure)
• Add/remove guards (canAdd/canRemove with unbounded, finite, and min floor)
• Normalize (padding, clamping, dropping unknown keys)
• Full round-trip (load → edit → serialize → reload, preserving data)
• Extra/unknown field preservation
• Prune (trailing empty removal, min retention, interior gaps kept)
• Multiple reviewers: config.reviewers defaults/bounds/round-trip, Paper.reviews parsing (defensive, normalized, malformed/non-numeric keys dropped) and backfilling (every reviewer 1..N present as an empty skeleton, an out-of-range key never dropped), serialization staying clean for a single-reviewer project (see the "multiple reviewers" describe block in model.test.ts)
• needsShapeMigration/the auto-migrate-on-open path: an old-shape file gets fixed and re-saved through a real handle, never through a 'download' or null one, and is stable (no re-migration, byte-identical re-serialization) once fixed — verified end-to-end against real files on disk, not just mocked platform calls

src/state/store.reviewers.test.ts covers the routing rule (currentTree) itself: which tree each store action reads/writes for single-reviewer, a numbered reviewer, Consolidation, and the unselected state; that selecting a reviewer is not an undo step and doesn't set dirty; and that the selection persists per project. src/state/store.aimarks.test.ts covers the reviewer-scoped AI mark keys specifically.

Screening has its own set of test files, mirroring the src/consolidate/*.test.ts convention (pure functions, no React, no store imports): src/screening/schema.test.ts (the derived schema's exact shape, reasons flowing into Reason.options in order), src/screening/status.test.ts (the tri-state read, including a hand-edited unknown decision reading as undecided), counts.test.ts (the totals, the per-reason breakdown including zero-count reasons, pendingUnanimous), and validate.test.ts (the two cross-field rules). src/state/store.screening.test.ts covers setScreeningDecision's seat routing, undo-step shape, the reason-clearing-on-decision-change and auto-advance rules, and adoptAllUnanimousScreening. src/state/editorStore.screening.test.ts covers buildProjectJson/validateDraft for a screening draft and the startFromScreening/resolveScreeningImport partition-and-carry logic, including the never-drop-on-uncertainty rule for a hand-edited unknown decision. src/model/model.test.ts's describe('screening') block covers the file-format round-trip, including the single most important assertion in it: a single-reviewer, non-screening project serializes byte-for-byte identically to before this feature existed.

Change Guidance

• Adding a field type: Update FieldType in schema.ts → fieldTypeSchema zod enum → emptyValue() in annotations.ts → isEmptyInstance() logic → Field.tsx rendering. Add a test in model.test.ts.
• Changing schema validation: Modify the zod schema in schema.ts or the superRefine logic. Resolution-time checks (sibling uniqueness) are in resolveDefs().
• Changing serialization format: Update serializeProject() and dehydrateSchema(). Ensure loadProject() remains backward-compatible or bump version. Always run the round-trip test.
• Adding new known paper/project fields: Add to the known keys sets (KNOWN_PAPER_KEYS, KNOWN_ROOT_KEYS) in project.ts and to the Paper/Project interfaces. Update serializeProject output.
• Touching anything that reads or writes paper.annotations directly: check whether it should instead go through currentTree() in store.ts — almost everything that acts on "the current paper's data" should, so a multi-reviewer project's numbered reviewers and Consolidation all see the right tree. Grep for .annotations across src/ when in doubt.
• Touching the screening schema or its counts: the pure logic lives entirely in src/screening/ (schema.ts derives the two-node schema, status.ts reads the tri-state, counts.ts aggregates, validate.ts has the two cross-field rules) — extend it there, with a test in the matching *.test.ts, rather than special-casing screening inside model/, consolidate/, or state/store.ts. Those three are meant to stay screening-agnostic; screening reuses them by presenting a two-field schema, not by teaching them what screening is.