{"id":"W2023595415","doi":"10.1038/pcan.2009.64","title":"Accurate prediction of repeat prostate biopsy outcomes by a mitochondrial DNA deletion assay","year":2010,"lang":"en","type":"article","venue":"Prostate Cancer and Prostatic Diseases","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre; Ontario Genomics","funders":"Industry Canada","keywords":"Medicine; Biopsy; Prostate cancer; Cutoff; Receiver operating characteristic; Prostate biopsy; Polymerase chain reaction; Prostate; Predictive value of tests; Pathology; Cancer; Radiology; Internal medicine; Oncology; Gene; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002141469,0.0003955475,0.0006151625,0.0001899526,0.0002029816,0.000102663,0.0001070147,0.0001267601,0.0002105156],"category_scores_gemma":[0.000270835,0.0002863213,0.0001539771,0.000350997,0.000488069,0.0003819693,0.00007676303,0.0003366605,0.000007856789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000071654,"about_ca_system_score_gemma":0.0005093953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002133758,"about_ca_topic_score_gemma":0.00001779821,"domain_scores_codex":[0.9974376,0.00007987864,0.0006218773,0.0006611049,0.0006210809,0.0005784733],"domain_scores_gemma":[0.9982429,0.0001492662,0.0002720129,0.0004116386,0.0004153922,0.0005087568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005518422,0.0008665138,0.7842297,0.001688948,0.00053677,0.00007340032,0.001824136,0.000004932956,0.1567643,0.00008964401,0.01016184,0.03824142],"study_design_scores_gemma":[0.03587069,0.003518406,0.7911873,0.001417436,0.002529515,0.000173157,0.001434303,0.001734467,0.1228251,0.003218218,0.03456165,0.001529702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820371,0.004166902,0.00005703021,0.003036118,0.0007524253,0.002964829,0.006547751,0.0001530801,0.0002847192],"genre_scores_gemma":[0.9873253,0.003692833,0.0005032712,0.0002486885,0.0001639029,0.001374168,0.001588512,0.00007885256,0.005024498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03671172,"threshold_uncertainty_score":0.9999589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437484480317464,"score_gpt":0.3074316387798778,"score_spread":0.2930567939767031,"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."}}