{"id":"W4281742561","doi":"10.1200/jco.2022.40.16_suppl.108","title":"Prostate cancer risk in African American men evaluated via digital histopathology multi-modal deep learning models developed on NRG Oncology phase III clinical trials.","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Saskatchewan; Horizon Health Network; Saint John Regional Hospital","funders":"National Institutes of Health","keywords":"Medicine; Prostate cancer; Internal medicine; Proportional hazards model; Oncology; Clinical endpoint; Cumulative incidence; Clinical trial; Hazard ratio; Cancer; Confidence interval; Cohort","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":[0.01377626,0.0005955288,0.000602988,0.0004832844,0.0001410014,0.0006042312,0.0007256724,0.000478946,0.001185701],"category_scores_gemma":[0.01489174,0.0002522269,0.001302076,0.000429746,0.0003192864,0.0006665263,0.0006518367,0.0008238794,0.0002294754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007511102,"about_ca_system_score_gemma":0.001213581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001928083,"about_ca_topic_score_gemma":0.002608264,"domain_scores_codex":[0.9976029,0.00187578,0.00009215746,0.0002042108,0.0001561493,0.00006888965],"domain_scores_gemma":[0.9965959,0.001888775,0.0008297495,0.000300297,0.0002283398,0.0001569657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0825069,0.003433515,0.3854846,0.001715893,0.009780918,0.0001611473,0.0003060985,0.182157,0.003592343,0.00200679,0.009042289,0.3198126],"study_design_scores_gemma":[0.01900349,0.04372632,0.188518,0.0008360812,0.009865076,0.000441855,0.0003146345,0.7086381,0.007249611,0.007556556,0.01370477,0.0001455142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798639,0.004643674,0.009263588,0.001304327,0.0001001388,0.0008390915,0.001961591,0.0001291416,0.00189458],"genre_scores_gemma":[0.9923921,0.0005418966,0.004846253,0.0003073537,0.000032156,0.0004415052,0.001083906,0.00001170373,0.0003430225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01377626,"threshold_uncertainty_score":0.07285666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2128057599690607,"score_gpt":0.5514069190639074,"score_spread":0.3386011590948467,"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."}}