switching phase-0 deepNN b-taggers to phase-1 training

[slava77]

#18315 has left out the phase-0 deepNN b-taggers using old (apparently 80X-based) training.
Based on discussion in that PR, more effort is needed to check the behavior for this data taking period.

An unwanted side-effect includes complications in configuration.

[cmsbuild]

A new Issue was created by @slava77 Slava Krutelyov.

@davidlange6, @Dr15Jones, @smuzaffar can you please review it and eventually sign/assign? Thanks.

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[slava77]

assign reconstruction

@mverzett @imarches

[cmsbuild]

New categories assigned: reconstruction

@slava77,@perrotta you have been requested to review this Pull request/Issue and eventually sign? Thanks

[slava77]

@mverzett @kskovpen
in RecoBTag/Combined/python/pfDeepCSVJetTags_cfi.py in 106X we are still using RecoBTag/Combined/data/DeepFlavourNoSL.json for Run1 and 2016

I wanted to check if this is still a correct choice even for the UL rereco.
Please clarify.
Thank you.

[mverzett]

@slava77 , yes, for Phase0 detector configuration is still the correct model to use.
Thanks for the thorough checks!

[slava77]

I'm closing this as obsolete or "will not fix" case.