diff --git a/PhysicsTools/NanoAOD/python/jetsAK4_Puppi_cff.py b/PhysicsTools/NanoAOD/python/jetsAK4_Puppi_cff.py
index 8e1496cf6e511..70db7163f03ca 100644
--- a/PhysicsTools/NanoAOD/python/jetsAK4_Puppi_cff.py
+++ b/PhysicsTools/NanoAOD/python/jetsAK4_Puppi_cff.py
@@ -78,19 +78,21 @@
         PNetRegPtRawCorr = Var("?abs(eta())<2.5?bDiscriminator('pfParticleNetFromMiniAODAK4PuppiCentralJetTags:ptcorr'):bDiscriminator('pfParticleNetFromMiniAODAK4PuppiForwardJetTags:ptcorr')",float,precision=10,doc="ParticleNet universal flavor-aware visible pT regression (no neutrinos), correction relative to raw jet pT"),
         PNetRegPtRawCorrNeutrino = Var("?abs(eta())<2.5?bDiscriminator('pfParticleNetFromMiniAODAK4PuppiCentralJetTags:ptnu'):bDiscriminator('pfParticleNetFromMiniAODAK4PuppiForwardJetTags:ptnu')",float,precision=10,doc="ParticleNet universal flavor-aware pT regression neutrino correction, relative to visible. To apply full regression, multiply raw jet pT by both PNetRegPtRawCorr and PNetRegPtRawCorrNeutrino."),
         PNetRegPtRawRes = Var("?abs(eta())<2.5?0.5*(bDiscriminator('pfParticleNetFromMiniAODAK4PuppiCentralJetTags:ptreshigh')-bDiscriminator('pfParticleNetFromMiniAODAK4PuppiCentralJetTags:ptreslow')):0.5*(bDiscriminator('pfParticleNetFromMiniAODAK4PuppiForwardJetTags:ptreshigh')-bDiscriminator('pfParticleNetFromMiniAODAK4PuppiForwardJetTags:ptreslow'))",float,precision=10,doc="ParticleNet universal flavor-aware jet pT resolution estimator, (q84 - q16)/2"),
-        btagUParTAK4B = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:BvsAll')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:BvsAll'):-1",float,precision=10,doc="UnifiedParT b vs. udscg"),
-        btagUParTAK4CvL = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsL')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsL'):-1",float,precision=10,doc="UnifiedParT c vs. udsg"),
-        btagUParTAK4CvB = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsB')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsB'):-1",float,precision=10,doc="UnifiedParT c vs. b"),
-        btagUParTAK4CvNotB = Var("?((bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probb')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probbb')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:problepb')))>0?((bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probc'))/(1.-bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probb')-bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probbb')-bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:problepb'))):-1",float,precision=10,doc="UnifiedParT c vs. not b"),
-        btagUParTAK4SvCB  = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:SvsBC')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:SvsBC'):-1",float,precision=10,doc="UnifiedParT s vs. bc"),
-        btagUParTAK4SvUDG = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:SvsUDG')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:SvsUDG'):-1",float,precision=10,doc="UnifiedParT s vs. udg"),
-        btagUParTAK4UDG = Var("bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probu')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probd')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probg')",float,precision=10,doc="UnifiedParT u+d+g raw score"),
-        btagUParTAK4QvG = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:QvsG')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:QvsG'):-1",float,precision=10,doc="UnifiedParT q (uds) vs. g"),
-        btagUParTAK4TauVJet = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:TauVsJet')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:TauVsJet'):-1",float,precision=10,doc="UnifiedParT tau vs. jet"),
-        btagUParTAK4Ele = Var("bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probele')",float,precision=10,doc="UnifiedParT electron raw score"),
-        btagUParTAK4Mu = Var("bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probmu')",float,precision=10,doc="UnifiedParT muon raw score"),
+        btagUParTAK4B = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:BvsAll')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:BvsAll'):-1",float,precision=12,doc="UnifiedParT b vs. udscg"),
+        btagUParTAK4CvL = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsL')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsL'):-1",float,precision=12,doc="UnifiedParT c vs. udsg"),
+        btagUParTAK4CvB = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsB')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:CvsB'):-1",float,precision=12,doc="UnifiedParT c vs. b"),
+        btagUParTAK4CvNotB = Var("?((bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probb')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probbb')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:problepb')))>0?((bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probc'))/(1.-bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probb')-bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probbb')-bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:problepb'))):-1",float,precision=12,doc="UnifiedParT c vs. not b"),
+        btagUParTAK4SvCB  = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:SvsBC')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:SvsBC'):-1",float,precision=12,doc="UnifiedParT s vs. bc"),
+        btagUParTAK4SvUDG = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:SvsUDG')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:SvsUDG'):-1",float,precision=12,doc="UnifiedParT s vs. udg"),
+        btagUParTAK4UDG = Var("bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probu')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probd')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probg')",float,precision=12,doc="UnifiedParT u+d+g raw score"),
+        btagUParTAK4QvG = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:QvsG')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:QvsG'):-1",float,precision=12,doc="UnifiedParT q (uds) vs. g"),
+        btagUParTAK4TauVJet = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:TauVsJet')>0?bDiscriminator('pfUnifiedParticleTransformerAK4DiscriminatorsJetTags:TauVsJet'):-1",float,precision=12,doc="UnifiedParT tau vs. jet"),
+        btagUParTAK4Ele = Var("bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probele')",float,precision=12,doc="UnifiedParT electron raw score"),
+        btagUParTAK4Mu = Var("bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probmu')",float,precision=12,doc="UnifiedParT muon raw score"),
+        btagUParTAK4probb =  Var("bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probb')",float,precision=12,doc="UnifiedParT b raw score"),
+        btagUParTAK4probbb =  Var("bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:probbb')",float,precision=12,doc="UnifiedParT bb raw score"),
         UParTAK4RegPtRawCorr = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptcorr')>0?bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptcorr'):-1",float,precision=10,doc="UnifiedParT universal flavor-aware visible pT regression (no neutrinos), correction relative to raw jet pT"),
-        UParTAK4RegPtRawCorrNeutrino = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptnu')>0?bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptnu'):-1",float,precision=10,doc="UnifiedParT universal flavor-aware pT regression neutrino correction, relative to visible. To apply full regression, multiply raw jet pT by both UParTAK4RegPtRawCorr and UParTAK4RegPtRawCorrNeutrino."),
+        UParTAK4RegPtRawCorrNeutrino = Var("?bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptnu')>0?bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptnu'):-1",float,precision=10,doc="UnifiedParT universal flavor-aware pT regression neutrino correction, relative to visible. Correction relative to raw jet pT"),
         UParTAK4RegPtRawRes = Var("?(bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptreshigh')+bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptreslow'))>0?0.5*(bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptreshigh')-bDiscriminator('pfUnifiedParticleTransformerAK4JetTags:ptreslow')):-1",float,precision=10,doc="UnifiedParT universal flavor-aware jet pT resolution estimator, (q84 - q16)/2"),
         puIdDisc = Var("userFloat('pileupJetIdPuppi:fullDiscriminant')", float,doc="Pileup ID BDT discriminant with 133X Winter24 PuppiV18 training",precision=10),
         hfsigmaEtaEta = Var("userFloat('hfsigmaEtaEta')",float,doc="sigmaEtaEta for HF jets (noise discriminating variable)",precision=10),
diff --git a/PhysicsTools/NanoAOD/python/nanoDQM_cfi.py b/PhysicsTools/NanoAOD/python/nanoDQM_cfi.py
index 804f555087c18..02410dc8487e0 100644
--- a/PhysicsTools/NanoAOD/python/nanoDQM_cfi.py
+++ b/PhysicsTools/NanoAOD/python/nanoDQM_cfi.py
@@ -478,6 +478,8 @@
                 Plot1D('btagUParTAK4CvNotB', 'btagUParTAK4CvNotB', 20, 0, 1, 'UnifiedParT C vs notB discriminator'),
                 Plot1D('btagUParTAK4Ele', 'btagUParTAK4Ele', 20, -1, 1, 'UnifiedParT electron raw score'),
                 Plot1D('btagUParTAK4Mu', 'btagUParTAK4Mu', 20, -1, 1, 'UnifiedParT muon raw score'),
+                Plot1D('btagUParTAK4probb', 'btagUParTAK4probb', 20, -1, 1, 'UnifiedParT b raw score'),
+                Plot1D('btagUParTAK4probbb', 'btagUParTAK4probbb', 20, -1, 1, 'UnifiedParT bb raw score'),
                 Plot1D('cRegCorr', 'cRegCorr', 20, 0.6, 2, 'pt correction for c-jet energy regression'),
                 Plot1D('cRegRes', 'cRegRes', 20, 0.05, 0.4, 'res on pt corrected with c-jet regression'),
                 Plot1D('btagPNetB', 'btagPNetB', 20, 0, 1, 'ParticleNet b tag discriminator'),