{"id":"W2736317985","doi":"10.1016/j.ejca.2017.07.001","title":"Medication use and kidney cancer risk: A population-based study","year":2017,"lang":"en","type":"article","venue":"European Journal of Cancer","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre; Princess Margaret Cancer Centre; University Health Network; University of Toronto; Health Sciences Centre","funders":"","keywords":"Medicine; Kidney cancer; Cancer; Population; Internal medicine; Logistic regression; Comorbidity; Oncology; Environmental health","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":[0.0007978011,0.0007016587,0.0009393007,0.00108091,0.001179628,0.001339796,0.0005485333,0.001677066,0.002295261],"category_scores_gemma":[0.001403553,0.001284965,0.001685957,0.002497881,0.000654516,0.001208525,0.0006988578,0.001647571,0.0005793651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005023937,"about_ca_system_score_gemma":0.0004575889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009534578,"about_ca_topic_score_gemma":0.009874805,"domain_scores_codex":[0.9991946,0.0002441164,0.00007151034,0.0002558086,0.0001210572,0.0001130661],"domain_scores_gemma":[0.9990054,0.0001628724,0.0002625019,0.0001637524,0.0001364098,0.0002691707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008017882,0.0003676061,0.9963078,0.00001532983,0.0006379726,0.0001627997,0.0001557595,0.00004465373,0.0007132268,0.00001576144,0.00008868944,0.0006885743],"study_design_scores_gemma":[0.00006676697,0.0003881905,0.9983798,0.000004720441,0.000310338,0.000277067,0.0002139336,0.0001336324,0.00004701937,0.0000254183,0.0001414738,0.0000114401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987896,0.0002604463,0.0001409357,0.00004188321,0.00001016551,0.00001744787,0.0003678894,0.000005511892,0.0003661133],"genre_scores_gemma":[0.9989337,0.000163249,0.0001244991,0.00006544098,0.00002252539,0.00002119227,0.0003624532,0.000004636494,0.0003022911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009534578,"threshold_uncertainty_score":0.01895815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810572566441415,"score_gpt":0.2983849469832216,"score_spread":0.2802792213188074,"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."}}