{"id":"W3027133928","doi":"10.1016/j.clinbiochem.2020.05.007","title":"Proteomic applications in pathology and laboratory medicine: Present state and future prospects","year":2020,"lang":"en","type":"review","venue":"Clinical Biochemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Mass spectrometry; Medical laboratory; Proteomics; Mass spectrometry imaging; Clinical microbiology; Computational biology; Chemistry; Medicine; Nanotechnology; Pathology; Biology; Chromatography; Biochemistry; Microbiology; Materials science","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":[0.001879868,0.001548501,0.002041335,0.002730867,0.0003213063,0.002306462,0.001163654,0.001735322,0.004584541],"category_scores_gemma":[0.00163263,0.0004155276,0.0006788604,0.003533255,0.001010129,0.00283816,0.001410878,0.002482168,0.003406683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006998922,"about_ca_system_score_gemma":0.001590357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006897062,"about_ca_topic_score_gemma":0.00175266,"domain_scores_codex":[0.9995725,0.0000830975,0.00004105755,0.00007474807,0.0001675344,0.00006106325],"domain_scores_gemma":[0.9985795,0.0007437156,0.0001519475,0.00003908494,0.0003334546,0.0001523814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001273147,0.00009031488,0.0002662193,0.01281249,0.00008310949,0.0001095792,0.00004689399,0.000368182,0.003095248,0.003604558,0.02246292,0.9569331],"study_design_scores_gemma":[0.00003012439,0.0001804262,0.00115547,0.003598015,0.0001726181,0.0009293812,0.0001101881,0.0003288577,0.001314012,0.005371364,0.9867616,0.00004792873],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001052298,0.9983624,0.0003436883,0.0002790396,0.0002261743,0.000003468754,0.00001394243,0.00001473538,0.0006513651],"genre_scores_gemma":[0.0005334697,0.9978896,0.0005128896,0.0002802557,0.0003432287,0.000004665348,0.00002787647,0.000002698711,0.0004052745],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004584541,"threshold_uncertainty_score":0.01533687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02548615745300837,"score_gpt":0.3727996249685988,"score_spread":0.3473134675155904,"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."}}