{"id":"W1999692740","doi":"10.1002/pmic.200900788","title":"Integrating titania enrichment, iTRAQ labeling, and Orbitrap CID‐HCD for global identification and quantitative analysis of phosphopeptides","year":2010,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Phosphopeptide; Orbitrap; Chemistry; Phosphoproteomics; Quantitative proteomics; Isobaric labeling; Chromatography; Peptide; Mass spectrometry; Isotopic labeling; Proteomics; Protein phosphorylation; Biochemistry; Tandem mass spectrometry; Phosphorylation; Protein mass spectrometry; Protein kinase A","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002042389,0.0001324313,0.0002279164,0.00005056256,0.000122256,0.00005103728,0.0001242017,0.0001094417,0.00001726611],"category_scores_gemma":[0.0001770449,0.0001310345,0.0000658164,0.0002658347,0.0001181255,0.0001036143,0.000049842,0.0001573989,4.137331e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002803708,"about_ca_system_score_gemma":0.0000243364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007483895,"about_ca_topic_score_gemma":0.0001597977,"domain_scores_codex":[0.9991358,0.000005069493,0.0003396832,0.000307157,0.0000756693,0.0001366476],"domain_scores_gemma":[0.9991575,0.00008026729,0.0003040383,0.0002367906,0.0001692272,0.0000521808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002789859,0.00003577091,0.008171513,0.0000703663,0.0001348362,7.91379e-8,0.0001461325,0.000008150119,0.9048001,0.08388662,0.000009665629,0.002708856],"study_design_scores_gemma":[0.0003204431,0.00003761399,0.001038647,0.00002944157,0.0003824148,0.00000257443,0.0003387804,0.01838572,0.9330862,0.04573268,0.0004116962,0.0002338585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7604308,0.0001156091,0.2382746,0.00007107422,0.00001204077,0.0004118804,0.000248404,0.00004786999,0.000387658],"genre_scores_gemma":[0.5485766,0.00008448433,0.4509372,0.00001269583,0.00001185394,0.0002612836,0.00005639712,0.000009392854,0.00005005543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2126626,"threshold_uncertainty_score":0.534343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01435570737362394,"score_gpt":0.3163516538860995,"score_spread":0.3019959465124756,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}