{"id":"W1880033105","doi":"10.6004/jnccn.2014.0007","title":"The Prostate Cancer Risk Stratification Project: Database Construction and Risk Stratification Outcome Analysis","year":2014,"lang":"en","type":"article","venue":"Journal of the National Comprehensive Cancer Network","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôtel-Dieu de Québec; Montreal General Hospital; Juravinski Cancer Centre; Kingston Health Sciences Centre; Cancer Care South East; BC Cancer Agency; Kelowna General Hospital; Princess Margaret Cancer Centre; London Health Sciences Centre","funders":"Ontario Institute for Cancer Research; Association of Canadian Universities for Research in Astronomy; Canadian Association of Radiation Oncology; National Comprehensive Cancer Network; American Society for Radiation Oncology","keywords":"Medicine; Prostate cancer; Brachytherapy; Radiation therapy; Oncology; Proportional hazards model; Risk stratification; Database; Internal medicine; Prostate; Survival analysis; Gynecology; Cancer","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01481118,0.0008927304,0.0008746298,0.009794008,0.001510159,0.002083467,0.00238224,0.0002943686,0.00211602],"category_scores_gemma":[0.03820308,0.0005852367,0.00115755,0.01479037,0.0004408947,0.0006935677,0.002526018,0.000794983,0.00072069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01552772,"about_ca_system_score_gemma":0.06491377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6843495,"about_ca_topic_score_gemma":0.6552571,"domain_scores_codex":[0.9864531,0.002865621,0.001933674,0.001306377,0.006521928,0.0009192223],"domain_scores_gemma":[0.9724064,0.002857045,0.003111568,0.004664264,0.01482103,0.002139697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001701607,0.0004283242,0.6802483,0.001051189,0.0009727058,0.000239498,0.001280316,0.004947615,0.00152483,0.006840578,0.0766161,0.2241489],"study_design_scores_gemma":[0.000586696,0.0003590764,0.8476008,0.0003818219,0.0008447214,0.0005388241,0.0008517199,0.01233083,0.003508332,0.001521014,0.1312916,0.0001846034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.29861,0.001489263,0.05753594,0.002075294,0.0001435649,0.02248823,0.6032882,0.002038023,0.01233164],"genre_scores_gemma":[0.2444312,0.0009467943,0.1289877,0.0002919936,0.00008112589,0.01158494,0.6113982,0.0002977315,0.0019803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6843495,"threshold_uncertainty_score":0.6350189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05022082447700471,"score_gpt":0.3718909252158641,"score_spread":0.3216701007388594,"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."}}