diff --git a/GRIB2_CodeFlag_4_0_CodeTable_en.csv b/GRIB2_CodeFlag_4_0_CodeTable_en.csv
index ffb7b0c..3b7b342 100644
--- a/GRIB2_CodeFlag_4_0_CodeTable_en.csv
+++ b/GRIB2_CodeFlag_4_0_CodeTable_en.csv
@@ -101,7 +101,8 @@ Product definition template number,,115,,"Individual ensemble forecast, control
 Product definition template number,,116,,"Individual ensemble forecast, control and perturbed on generalised tiles at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",,,,Operational
 Product definition template number,,117,,"Individual large ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time",,,,Operational
 Product definition template number,,118,,"Individual large ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer, in a continuous or non-continuous interval",,,,Operational
-Product definition template number,,119-253,,Reserved,,,,Operational
+Product definition template number,,123,,"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",,,,Operational
+Product definition template number,,124-253,,Reserved,,,,Operational
 Product definition template number,,254,,CCITT IA5 character string,,,,Operational
 Product definition template number,,255-999,,Reserved,,,,Operational
 Product definition template number,,1000,,Cross-section of analysis and forecast at a point in time,,,,Experimental
diff --git a/GRIB2_CodeFlag_4_101_CodeTable_en.csv b/GRIB2_CodeFlag_4_101_CodeTable_en.csv
index 57bad10..ae6490b 100644
--- a/GRIB2_CodeFlag_4_101_CodeTable_en.csv
+++ b/GRIB2_CodeFlag_4_101_CodeTable_en.csv
@@ -2,9 +2,11 @@ Title_en,SubTitle_en,CodeFlag,Value,MeaningParameterDescription_en,Note_en,noteI
 Type of relationship to reference dataset,,0,,Anomaly,(see Note 1),135,,Operational
 Type of relationship to reference dataset,,1,,Standardized anomaly,(see Note 1),135,,Operational
 Type of relationship to reference dataset,,2,,Significance (Wilcoxon-Mann-Whitney),(see Note 2),136,,Operational
-Type of relationship to reference dataset,,3-19,,Reserved,,,,Operational
+Type of relationship to reference dataset,,3,,Climatology,,,,Operational
+Type of relationship to reference dataset,,4-19,,Reserved,,,,Operational
 Type of relationship to reference dataset,,20,,Extreme Forecast Index (EFI),(see Note 3),137,,Operational
 Type of relationship to reference dataset,,21,,Shift of Tails (SOT),(see Note 4),138,,Operational
-Type of relationship to reference dataset,,22-191,,Reserved,,,,Operational
+Type of relationship to reference dataset,,22,,Anomaly of probabilities,(see Note 4,226a,,Operational
+Type of relationship to reference dataset,,23-191,,Reserved,,,,Operational
 Type of relationship to reference dataset,,192-254,,Reserved for local use,,,,Operational
 Type of relationship to reference dataset,,255,,Missing,,,,Operational
diff --git a/GRIB2_Template_4_123_ProductDefinitionTemplate_en.csv b/GRIB2_Template_4_123_ProductDefinitionTemplate_en.csv
new file mode 100644
index 0000000..a776a1d
--- /dev/null
+++ b/GRIB2_Template_4_123_ProductDefinitionTemplate_en.csv
@@ -0,0 +1,73 @@
+Title_en,OctetNo,Contents_en,Note_en,noteIDs,codeTable,flagTable,Status
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",10,Parameter category,(see Code table 4.1),,4.1,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",11,Parameter number,(see Code table 4.2),,4.2,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",12,Type of generating process,(see Code table 4.3),,4.3,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",13,Background generating process identifier (defined by originating centre),,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",14,Analysis or forecast generating process identifier (defined by originating centre),,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",15-16,Hours of observational data cut-off after reference time,(see Note 1),33,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",17,Minutes of observational data cut-off after reference time,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",18,Indicator of unit of time range,(see Code table 4.4),,4.4,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",19-22,Forecast time in units defined by previous octet,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",23,Type of first fixed surface,(see Code table 4.5),,4.5,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",24,Scale factor of first fixed surface,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",25-28,Scaled value of first fixed surface,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",29,Type of second fixed surface,(see Code table 4.5),,4.5,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",30,Scale factor of second fixed surface,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",31-34,Scaled value of second fixed surface,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",35-36,Year of end of overall time interval,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",37,Month of end of overall time interval,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",38,Day of end of overall time interval,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",39,Hour of end of overall time interval,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",40,Minute of end of overall time interval,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",41,Second of end of overall time interval,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",42,Number of time range,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",43-46,Number of missing in statistical process,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",,The next six entries are repeated NT times nt=1:NT,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",47+(nt-1)*12,Type of statistical processing,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",48+(nt-1)*12,Type of time increment,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",49+(nt-1)*12,Indicator of unit for time range,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",(50+(nt-1)*12)-(53+(nt-1)*12),Length of time range,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",54+(nt-1)*12,Indicator of unit for time increment,(see Code table 4.4),,4.4,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",(55+(nt-1)*12)-(58+(nt-1)*12),Time increment,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",,End of sequence repeated NT times,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",59+(NT-1)*12,Type of ensemble forecast,(see Code table 4.6),,4.6,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",(60+(NT-1)*12)-(63+(NT-1)*12),Number of forecasts in ensemble,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",64+(NT-1)*12,Forecast probability number,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",65+(NT-1)*12,Total number of forecast probabilities,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",66+(NT-1)*12,Probability type,(see Code table 4.9),,4.9,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",67+(NT-1)*12,Scale factor of lower limit,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",(68+(NT-1)*12)-(71+(NT-1)*12),Scaled value of lower limit,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",72+(NT-1)*12,Scale factor of lower limit,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",(73+(NT-1)*12)-(76+(NT-1)*12),Scaled value of lower limit,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",77+(NT-1)*12,Type of reference dataset,(see Code table 4.100),,4.100,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",78+(NT-1)*12,Type of relation to reference dataset,(see Code table 4.101),,4.101,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",79+(NT-1)*12,Number of additional parameter for reference period - NA,(see Note 2),164,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",,The next two entries are repeated NA times na=0:NA - can be 0 times if no parameters are necessary,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",80+(NT-1)*12+(na-1)*5,Scale factor of additional parameter for reference period,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",(81+(NT-1)*12+(na-1)*5)-(84+(NT-1)*12+(na-1)*5),Scaled value of additional parameter for reference period,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",,end of repeated NA sequence,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",(80+(NT-1)*12+NA*5)-(81+(NT-1)*12+NA*5),Year of start of reference period,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",82+(NT-1)*12+NA*5,Month of start of reference period,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",83+(NT-1)*12+NA*5,Day of start of reference period,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",84+(NT-1)*12+NA*5,Hour of start of reference period,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",85+(NT-1)*12+NA*5,Minute of start of reference period,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",86+(NT-1)*12+NA*5,Second of start of reference period,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",(87+(NT-1)*12+NA*5)-(90+ (NT-1)*12+NA*5),Sample size of reference period,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",91+(NT-1)*12+NA*5,Number of reference period time range - NR,(see Note 3),165,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",,The next three entries are repeated NR times nr=1:NR,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",92+(NT-1)*12+NA*5+(nr-1)*6,Type of statistical processing for time range for reference period,(see Code table 4.102),,4.102,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",93+(NT-1)*12+NA*5+(nr-1)*6,Indicator of unit of time range for reference period,(see Code table 4.4),,4.4,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",(94+(NT-1)*12+NA*5+(nr-1)*6)-(97+(NT-1)*12+NA*5+(nr-1)*6),Length of time range for reference period,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",,end of repeated NR sequence,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",98+(NT-1)*12+NA*5+(nr-1)*6,Spatial vicinity type,(see Code table 4.103),,4.103,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",99+(NT-1)*12+NA*5+(nr-1)*6,Number of spatial vicinity values (NSV),,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",,The next entry repeats nsv=1:NSV times,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",(100+(nsv-1)*4+(NT-1)*12+NA*5+(nr-1)*6)-(103+(nsv-1)*4+(NT-1)*12+NA*5+(nr-1)*6),Spatial vicinity value,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",104+(nsv-1)*4+(NT-1)*12+NA*5+(nr-1)*6,Spatial vicinity processing,(see Code table 4.104),,4.104,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",(105+(nsv-1)*4+(NT-1)*12+NA*5+(nr-1)*6)-(106+(nsv-1)*4+(NT-1)*12+NA*5+(nr-1)*6),"Spatial vicinity processing argument 1 (e.g., if previous is quantile)",,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",(107+(nsv-1)*4+(NT-1)*12+NA*5+(nr-1)*6)-(108+(nsv-1)*4+(NT-1)*12+NA*5+(nr-1)*6),"Spatial vicinity processing argument 2 (e.g., if previous is quantile)",,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",109+(nsv-1)*4+(NT-1)*12+NA*5+(nr-1)*6,Spatial vicinity missing data,(see Code table 4.105),,4.105,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",110+(nsv-1)*4+(NT-1)*12+NA*5+(nr-1)*6,Temporal vicinity processing,(see Code table 4.104),,4.104,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",111+(nsv-1)*4+(NT-1)*12+NA*5+(nr-1)*6,Temporal vicinity unit,(see Code table 4.4),,4.4,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",(112+(nsv-1)*4+(NT-1)*12+NA*5+(nr-1)*6)-(115+(nsv-1)*4+(NT-1)*12+NA*5+(nr-1)*6),Temporal vicinity towards past,,,,,Operational
+"Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval",(116+(nsv-1)*4+(NT-1)*12+NA*5+(nr-1)*6)-(119+(nsv-1)*4+(NT-1)*12+NA*5+(nr-1)*6),Temporal vicinity towards future,,,,,Operational
diff --git a/notes/CodeFlag_notes.csv b/notes/CodeFlag_notes.csv
index b632ec2..e3f63fe 100644
--- a/notes/CodeFlag_notes.csv
+++ b/notes/CodeFlag_notes.csv
@@ -140,3 +140,4 @@ noteID,note
 143,"In the nested ordering scheme, the 12 rhomboids are scanned in order defined in Gorsky et al. 2015. The flag bits then refer to how the points are scanned within a rhomboid."
 144,"This is the Julian day of the year that surface melt begins."
 145,"This is the Julian day of the year that surface freeze begins."
+226a,"This entry is intended to be used with templates 4.112 and 4.123. Instead of having the probability of the exceedance of the anomaly (code number 0) of the limits specified in the message, it specifies probabilities which were calculated for the forecast and for the reference dataset with the given specification listed in the meta-data. The anomaly is calculated between the two derived probabilities"