{"id":"W3196289286","doi":"10.1101/2021.08.30.21262305","title":"Genetic Factors Associated with Prostate Cancer Conversion from Active Surveillance to Treatment","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Princess Margaret Cancer Centre; University of British Columbia; University Health Network","funders":"National Center for Advancing Translational Sciences; NorthShore University HealthSystem; University of Michigan; National Cancer Institute; College of Pharmacy, University of Michigan; National Institutes of Health; Vanderbilt University; U.S. Department of Defense","keywords":"Prostate cancer; Single-nucleotide polymorphism; Hazard ratio; Genome-wide association study; Medicine; Oncology; Confidence interval; Internal medicine; SNP; Decile; Cancer; Germline; Prostate-specific antigen; Genetics; Biology; Gene; Genotype","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007308992,0.0004880008,0.0008524835,0.0001372756,0.00009674572,0.00006634895,0.0001414673,0.0002460241,0.0005116562],"category_scores_gemma":[0.0000606897,0.0003154766,0.0001666017,0.0002855914,0.00008827923,0.00003450088,0.0002221849,0.0004079679,0.00001597964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001901616,"about_ca_system_score_gemma":0.001247528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004251623,"about_ca_topic_score_gemma":0.002199683,"domain_scores_codex":[0.9975318,0.0001645763,0.0002504633,0.0009529745,0.0005919574,0.0005082777],"domain_scores_gemma":[0.998301,0.0001499196,0.000164602,0.000581092,0.0003967547,0.0004066589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001296928,0.0003364875,0.9863934,0.00008008813,0.001911212,0.0004631855,0.003445206,0.0001332155,0.00283879,7.180692e-8,0.0001069976,0.002994399],"study_design_scores_gemma":[0.00303107,0.0006703944,0.9509698,0.0008370468,0.000289905,9.161251e-7,0.0004724593,0.00006521629,0.04269702,0.000005726993,0.0006347766,0.0003256649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924723,0.002473058,0.00001105512,0.001227778,0.0004337342,0.001914496,0.001237388,0.00009755961,0.0001326141],"genre_scores_gemma":[0.9916072,0.002711947,0.00009262862,0.00009181664,0.0001312178,0.0005161659,0.002029004,0.00007589888,0.002744148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03985823,"threshold_uncertainty_score":0.9999297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04382431172953798,"score_gpt":0.3167049700574001,"score_spread":0.2728806583278621,"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."}}