{"id":"W2148810272","doi":"10.1002/pmic.200400970","title":"Increased quantitative proteome coverage with <sup>13</sup>C/<sup>12</sup>C‐based, acid‐cleavable isotope‐coded affinity tag reagent and modified data acquisition scheme","year":2005,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute","keywords":"Chemistry; Reagent; Chromatography; Proteome; Mass spectrometry; Tandem mass spectrometry; Electrospray ionization; Biochemistry; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001115619,0.0006920268,0.0006052595,0.0004583782,0.000180171,0.0007460023,0.0006767036,0.0005671516,0.001753057],"category_scores_gemma":[0.0007649612,0.00035249,0.0004679291,0.0005438749,0.0003128335,0.0006935767,0.0005325584,0.001200445,0.001167679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004388558,"about_ca_system_score_gemma":0.0004550152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003828107,"about_ca_topic_score_gemma":0.0006302281,"domain_scores_codex":[0.9991316,0.0001305862,0.00006974157,0.0002085439,0.00037814,0.00008126979],"domain_scores_gemma":[0.999274,0.0001867626,0.00009754379,0.0001187551,0.0002643746,0.00005864743],"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":[0.00006610418,0.00001360529,0.00005779246,0.00003481138,0.000006127661,0.00001913278,0.000007826657,0.00008915614,0.9965248,0.0001144409,0.0001705149,0.002895666],"study_design_scores_gemma":[0.0000102703,0.00006668367,0.0008385844,0.00000480345,0.00001622687,0.0001594375,0.000005695096,0.003307904,0.9915707,0.00005719226,0.003951055,0.000011442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5127154,0.00322236,0.468598,0.0008422451,0.0002992416,0.0003565539,0.003627763,0.006046295,0.004292117],"genre_scores_gemma":[0.4589957,0.001833382,0.5246664,0.0007883028,0.00008862399,0.0006208807,0.006541396,0.0008303968,0.005634947],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001753057,"threshold_uncertainty_score":0.005900025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03443276875391796,"score_gpt":0.2830345931396627,"score_spread":0.2486018243857447,"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."}}