{"id":"W4409265473","doi":"10.1097/01.ju.0001109704.44053.60.05","title":"MP02-05 MULTI-INSTITUTIONAL VALIDATION STUDY OF THE KIDNEY CANCER RISK EQUATION (KCRE): RESULTS FROM THE CANADIAN KIDNEY CANCER INFORMATION SYSTEM (CKCis)","year":2025,"lang":"en","type":"article","venue":"The Journal of Urology","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Kidney cancer; Cancer; Kidney; Oncology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0168419,0.0009973453,0.0009059246,0.001518366,0.002295888,0.002324517,0.003770481,0.001581154,0.003250089],"category_scores_gemma":[0.04561118,0.0008995768,0.001448662,0.003864369,0.0007415744,0.001373105,0.003169231,0.002168192,0.002072914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006510333,"about_ca_system_score_gemma":0.01390252,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6312335,"about_ca_topic_score_gemma":0.5759776,"domain_scores_codex":[0.9906684,0.003498025,0.0007502181,0.001308362,0.002891301,0.0008836999],"domain_scores_gemma":[0.9496112,0.008159892,0.005923085,0.009892131,0.0234613,0.002952407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001269396,0.000607237,0.9668519,0.00005859427,0.0007525789,0.00006530215,0.0004842994,0.0008362003,0.0002980474,0.0004063907,0.02136053,0.007009614],"study_design_scores_gemma":[0.0002302657,0.0001563786,0.9926122,0.00003700711,0.00017108,0.00006812506,0.0002882,0.001388557,0.0003455925,0.00007351633,0.004597048,0.00003207735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8748024,0.000247526,0.003212522,0.001208871,0.0001573389,0.000746227,0.11488,0.000270918,0.004474197],"genre_scores_gemma":[0.8522354,0.0001504158,0.003401449,0.0009004021,0.00007661129,0.0009827871,0.138292,0.0002519824,0.003709018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3687665,"threshold_uncertainty_score":0.7418766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03384358770971877,"score_gpt":0.2492107657177988,"score_spread":0.21536717800808,"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."}}