{"id":"W3084968377","doi":"10.1016/j.euo.2020.08.010","title":"Hospital-level Effects Contribute to Variations in Prostate Cancer Quality of Care","year":2020,"lang":"en","type":"article","venue":"European Urology Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; Sunnybrook Health Science Centre; Princess Margaret Cancer Centre; University Health Network; University of Toronto; Health Sciences Centre","funders":"Princess Margaret Cancer Foundation","keywords":"Benchmarking; Medicine; Case mix index; Prostate cancer; Standardization; Quality (philosophy); Cancer; Health care; Emergency medicine; Intensive care medicine; Internal medicine; Nursing","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":[],"consensus_categories":[],"category_scores_codex":[0.0004216688,0.0001286075,0.0005432272,0.00007364741,0.00003395184,0.000003130883,0.0001510106,0.00007188685,0.00005312997],"category_scores_gemma":[0.001190394,0.0001230939,0.00006623242,0.0003101275,0.00008936084,0.00003715595,0.000127815,0.0002853193,0.00008730117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001517772,"about_ca_system_score_gemma":0.0002692841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003488771,"about_ca_topic_score_gemma":0.0004147898,"domain_scores_codex":[0.9981342,0.0006330325,0.0004407941,0.0003425913,0.0001342481,0.0003151561],"domain_scores_gemma":[0.9990084,0.0002192188,0.0001621401,0.0001780481,0.0002203097,0.0002118836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005234073,0.0003161906,0.8960663,0.0004529241,0.0002123128,0.002120098,0.03013324,0.0009142222,0.01476176,0.002420578,0.008613394,0.03875491],"study_design_scores_gemma":[0.003779504,0.006229315,0.9572284,0.00003639104,0.00008073154,0.00001091606,0.0003475084,0.00003979659,0.0004170947,0.00002749495,0.03166954,0.0001333054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501571,0.001176266,0.0009165052,0.03689931,0.000354843,0.0008959282,0.000100188,0.00005361832,0.009446224],"genre_scores_gemma":[0.9809669,0.00004660845,0.0008703412,0.01781755,0.0001690205,0.00003839085,0.00002627796,0.00001816667,0.00004675559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0611621,"threshold_uncertainty_score":0.5019622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07394108093913258,"score_gpt":0.3823975231627333,"score_spread":0.3084564422236007,"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."}}