{"id":"W4379160823","doi":"10.1158/1538-7445.prca2023-b046","title":"Abstract B046: Multimodal biomarkers that predict the presence of Gleason pattern 4: Potential impact for active surveillance","year":2023,"lang":"en","type":"article","venue":"Cancer Research","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre; Princess Margaret Cancer Centre; Western University; McGill University; London Health Sciences Centre; Queen's University; Institute of Cancer Research; Ontario Institute for Cancer Research","funders":"","keywords":"Cohort; Prostate cancer; Medicine; Oncology; DNA methylation; Internal medicine; Cancer; Biopsy; Biology; Gene; Gene expression; Genetics","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":[0.001729181,0.000790021,0.0005163978,0.000790639,0.0001508855,0.0007483641,0.0004452025,0.0005142978,0.002475893],"category_scores_gemma":[0.004080955,0.0001662847,0.0003835184,0.0002944755,0.0001724076,0.0005328645,0.000570216,0.0004957637,0.0006904977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002887339,"about_ca_system_score_gemma":0.0003650208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00128054,"about_ca_topic_score_gemma":0.001603201,"domain_scores_codex":[0.9995969,0.0001225911,0.00003490817,0.0001272611,0.00008591952,0.00003249607],"domain_scores_gemma":[0.9979437,0.0009972176,0.0004133251,0.0001450967,0.0003329033,0.0001678467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002569417,0.0002643611,0.8765006,0.0001056199,0.0002430592,0.00005903747,0.00002835005,0.01021303,0.0121866,0.0000806245,0.001706914,0.0960424],"study_design_scores_gemma":[0.0001997184,0.003612073,0.6734725,0.00007888932,0.0004142633,0.0009210268,0.00007438028,0.2981326,0.02046835,0.0007852614,0.001780362,0.00006067685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868388,0.0005317747,0.009838635,0.0002084411,0.00002492919,0.00006597238,0.001208786,0.0003132618,0.0009695112],"genre_scores_gemma":[0.9903445,0.00007493126,0.00713017,0.0000620939,0.00002268154,0.00002872292,0.001839296,0.00002124729,0.0004764175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002475893,"threshold_uncertainty_score":0.009144843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08602895832986038,"score_gpt":0.4304992085937567,"score_spread":0.3444702502638963,"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."}}