{"id":"W2965555268","doi":"10.1016/j.clon.2019.07.010","title":"Application of Hereditary Renal Cell Carcinoma Risk Criteria to a Large Prospective Database","year":2019,"lang":"en","type":"article","venue":"Clinical Oncology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Alberta; Children's Hospital of Eastern Ontario; Queen Elizabeth II Health Sciences Centre; Juravinski Cancer Centre; McMaster University; Western University; McGill University; University of Ottawa; Impact; Université Laval; Centre Hospitalier de l’Université de Montréal; Ottawa Hospital; University Health Network; University of Calgary; Princess Margaret Cancer Centre","funders":"Movember Canada; Canada Foundation for Innovation; Prostate Cancer Canada; Astellas Pharma Canada; Ipsen; Novartis; Cancer Research Society; Canadian Urological Association Scholarship Fund; Pfizer","keywords":"Medicine; Renal cell carcinoma; Genetic testing; Population; Prospective cohort study; Risk assessment; Incidence (geometry); Database; Germline mutation; Cancer; Internal medicine; Mutation; Genetics; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00393966,0.0003873893,0.0009130373,0.003122574,0.0009282407,0.001811308,0.0008978649,0.0005591777,0.002531611],"category_scores_gemma":[0.02164555,0.0004204478,0.001000961,0.005762248,0.0002707439,0.0009806672,0.001185908,0.0005888896,0.0003798956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001260057,"about_ca_system_score_gemma":0.002450462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01808888,"about_ca_topic_score_gemma":0.02000216,"domain_scores_codex":[0.9952469,0.001773283,0.0009403367,0.001110648,0.0005996665,0.0003291876],"domain_scores_gemma":[0.9845191,0.006500692,0.004534234,0.001921812,0.001642785,0.0008813728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003115603,0.00006306203,0.9961183,0.0000493006,0.000276884,0.0001654563,0.0000946036,0.00018215,0.0001128533,0.00009628722,0.0007306835,0.001798848],"study_design_scores_gemma":[0.0001616803,0.0001386272,0.9940075,0.00005498908,0.000456755,0.0009192437,0.0004819707,0.002164043,0.0002008266,0.0001682452,0.001228509,0.00001766454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865357,0.0004280426,0.0005136525,0.0001647122,0.00001189643,0.0001384389,0.0114094,0.00001365402,0.0007844518],"genre_scores_gemma":[0.9845977,0.0001964312,0.0009172194,0.0000831542,0.0000198927,0.0001594399,0.0138605,0.000008687331,0.0001570735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01808888,"threshold_uncertainty_score":0.03596717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04252598247363788,"score_gpt":0.3926194390986155,"score_spread":0.3500934566249777,"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."}}