{"id":"W2060453618","doi":"10.1373/clinchem.2009.128058","title":"Protein Quantification by Mass Spectrometry: Is It Ready for Prime Time?","year":2009,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Analyte; Mass spectrometry; Tandem mass spectrometry; Chemistry; Chromatography; Tandem mass tag; Instrumentation (computer programming); Computer science; Proteomics; Computational biology; Data science; Quantitative proteomics; Biochemistry; Biology","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":[0.04892454,0.002681477,0.005558869,0.004367831,0.00268323,0.010468,0.004512512,0.01749272,0.006677153],"category_scores_gemma":[0.05656522,0.001712585,0.00194919,0.003536891,0.01572871,0.02912344,0.005026015,0.02710914,0.01162215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004397571,"about_ca_system_score_gemma":0.005581963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001959817,"about_ca_topic_score_gemma":0.001038498,"domain_scores_codex":[0.9772496,0.00724076,0.001365164,0.002581994,0.01051829,0.001044236],"domain_scores_gemma":[0.9395354,0.0261516,0.004511479,0.003814434,0.0215438,0.004443289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001033071,0.0002370947,0.002850892,0.005141549,0.0003056104,0.000659985,0.001079636,0.0003089562,0.01322009,0.05585508,0.5113238,0.4079842],"study_design_scores_gemma":[0.0001021567,0.0004945575,0.00117268,0.00235221,0.0001437401,0.001597804,0.0008281081,0.0009678103,0.008212889,0.06980348,0.9140549,0.0002696871],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0008774712,0.4479254,0.02629269,0.4650703,0.05601424,0.00007318465,0.0001812451,0.0007184573,0.002847013],"genre_scores_gemma":[0.01660077,0.5229571,0.0668912,0.2808901,0.1010797,0.0003277271,0.0005766971,0.0009965022,0.009680082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04892454,"threshold_uncertainty_score":0.2587408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04292920195989779,"score_gpt":0.3558742654720032,"score_spread":0.3129450635121054,"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."}}