{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005538614,0.0002242598,0.0003582994,0.00001607327,0.00009376602,0.00003556082,0.0003015468,0.000343031,0.0001520792],"category_scores_gemma":[0.0006973456,0.000215528,0.0002286157,0.0001149859,0.0001006416,0.000003802928,0.00004656888,0.0001733694,0.00004950624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001767327,"about_ca_system_score_gemma":0.00005910943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.804814e-7,"about_ca_topic_score_gemma":1.201026e-7,"domain_scores_codex":[0.9982261,0.00002914963,0.0005607678,0.0006982677,0.0001423647,0.0003433505],"domain_scores_gemma":[0.9988416,0.00004253155,0.0002324763,0.0006135979,0.0001316307,0.0001381178],"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":[0.0001079217,0.0001701546,0.0001906614,0.00001777081,0.00006961332,3.732585e-7,0.000002240789,6.71245e-8,0.8675375,0.00005906975,0.1310234,0.0008212879],"study_design_scores_gemma":[0.00058147,0.0003004853,0.0001593594,0.00000761902,0.00003299917,0.000001564966,0.00001193769,0.00003545998,0.7804421,0.0005095815,0.21769,0.0002274074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543673,0.002525689,0.01207917,0.01147972,0.0001936544,0.001064005,0.0004562013,0.00006965607,0.01776461],"genre_scores_gemma":[0.9309091,0.0005841071,0.009871216,0.001573339,0.001079297,0.00008306547,0.001126491,0.00004097378,0.05473243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08709536,"threshold_uncertainty_score":0.8788975,"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."}}