{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000920245,0.0001689494,0.0008125054,0.00008598896,0.00002834712,0.000002762406,0.0001461699,0.0002473534,0.0003473893],"category_scores_gemma":[0.0003336244,0.0001366559,0.0002156273,0.0001854229,0.00009308388,0.00004664741,0.000177117,0.0004079862,0.0008672391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002401681,"about_ca_system_score_gemma":0.0003442481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001642904,"about_ca_topic_score_gemma":0.0000382405,"domain_scores_codex":[0.9977835,0.0002779704,0.0008269172,0.0006013229,0.000213391,0.0002969102],"domain_scores_gemma":[0.9976788,0.0006535742,0.0003236636,0.000789942,0.0002158125,0.0003381762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00291009,0.002803411,0.9675633,0.0001157316,0.0000785517,0.0002027061,0.0001668525,0.000002273807,0.01317282,0.0001264952,0.006810491,0.006047281],"study_design_scores_gemma":[0.006051361,0.01155438,0.9558898,0.00002412324,0.0003017889,0.00003991339,0.0001185392,0.0003303749,0.008547063,0.0001117182,0.01690118,0.0001297462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855978,0.0002006085,0.0008265079,0.0004501785,0.0004646337,0.001749841,0.0001434556,0.00003106011,0.01053595],"genre_scores_gemma":[0.9924836,0.00002058709,0.00519406,0.0006934372,0.000527281,0.0001249528,0.0001505119,0.00002592999,0.0007797097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01167349,"threshold_uncertainty_score":0.9999107,"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."}}