{"id":"W3036595858","doi":"10.5489/cuaj.6716","title":"Determining Generalizability of the Canadian Kidney Cancer information system (CKCis) to the Entire Canadian Kidney Cancer Population","year":2020,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Université de Montréal; University of Manitoba; University of British Columbia; Université Laval; University of Alberta; Université de Sherbrooke; Western University; University of Toronto; Dalhousie University; McGill University; University of Ottawa; University of Calgary; London Health Sciences Centre; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Medicine; Cancer registry; Kidney cancer; Cancer; Cohort; Population; Incidence (geometry); Kidney disease; Prospective cohort study; Renal cell carcinoma; Cohort study; Demography; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006642145,0.0002133468,0.0003491908,0.0002322005,0.000894124,0.0001562128,0.0003168063,0.0002817161,0.0005241527],"category_scores_gemma":[0.001685035,0.0001347237,0.0002059566,0.0006110069,0.00003149344,0.0001845567,0.00002332287,0.0005673092,0.00003579852],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01395179,"about_ca_system_score_gemma":0.01032776,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9646286,"about_ca_topic_score_gemma":0.9778745,"domain_scores_codex":[0.9975005,0.0003236934,0.0006397968,0.000213373,0.0006100793,0.0007125688],"domain_scores_gemma":[0.9935982,0.00003859698,0.0004390917,0.0002327568,0.0005551896,0.005136204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001925977,0.000003319547,0.960851,0.00003036695,0.0001008346,0.00001879146,0.0009541029,0.001161902,0.00002764977,0.00007232306,0.03472759,0.00203289],"study_design_scores_gemma":[0.0004824231,0.00009755955,0.8629026,0.00006781024,0.000173074,0.00004397261,0.0001474063,0.002041861,0.00007496368,0.000009238986,0.1338234,0.0001356648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7373296,0.00009036952,0.000009690578,0.2585257,0.00093888,0.0008004737,0.0008288042,0.00001788257,0.001458558],"genre_scores_gemma":[0.9365518,0.00001249588,0.00004749839,0.06259328,0.0005525266,0.00005835255,0.00007808068,0.00001450899,0.00009144285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1992222,"threshold_uncertainty_score":0.9952828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336058013677052,"score_gpt":0.2366220192688669,"score_spread":0.2132614391320964,"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."}}