{"id":"W3039285421","doi":"10.1002/prca.202000012","title":"Targeted Mass Spectrometry of a Clinically Relevant PSA Variant from Post‐DRE Urines for Quantitation and Genotype Determination","year":2020,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Cancer Institute","keywords":"Concordance; Prostate cancer; Urine; Genotype; Biomarker; Single-nucleotide polymorphism; SNP; Mass spectrometry; Medicine; Prostate-specific antigen; Internal medicine; Oncology; Cancer; Chromatography; Biology; Chemistry; Genetics; Gene","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":[0.0003449736,0.0001446141,0.0004622152,0.00004045764,0.00007726012,0.00002294484,0.00009661675,0.0001499632,0.00002779498],"category_scores_gemma":[0.001207726,0.000125875,0.0001652578,0.0001913165,0.0001074073,0.00006051205,0.00004177077,0.0001711993,0.00001353782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003751828,"about_ca_system_score_gemma":0.0001526149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004276092,"about_ca_topic_score_gemma":0.000006982761,"domain_scores_codex":[0.9980812,0.00004447535,0.001086357,0.000496713,0.0001405872,0.0001506382],"domain_scores_gemma":[0.9978596,0.0008077282,0.000465261,0.0002791679,0.0003732099,0.0002150101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01202365,0.006688289,0.3305995,0.002045107,0.002023575,0.00003314347,0.00123811,0.00002985921,0.3717206,0.02663029,0.001620391,0.2453474],"study_design_scores_gemma":[0.03705801,0.02219574,0.6753734,0.0004738873,0.004180661,0.00002837129,0.0004973376,0.05309778,0.06486078,0.1254484,0.01535712,0.001428489],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4718726,0.0008091885,0.4979704,0.02122755,0.00008496222,0.006864132,0.0009868905,0.00009047161,0.00009382768],"genre_scores_gemma":[0.5424576,0.001169678,0.4531216,0.001004736,0.000286348,0.001427109,0.0004931716,0.00002662944,0.00001302447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3447739,"threshold_uncertainty_score":0.5133035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05027592224781995,"score_gpt":0.3646455630044156,"score_spread":0.3143696407565957,"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."}}