{"id":"W4380886773","doi":"10.1016/j.euros.2023.05.005","title":"Assessment of the VENUSS and GRANT Models for Individual Prediction of Cancer-specific Survival in Surgically Treated Nonmetastatic Papillary Renal Cell Carcinoma","year":2023,"lang":"en","type":"article","venue":"European Urology Open Science","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Population; Cancer; Kidney cancer; Retrospective cohort study; Oncology; Internal medicine; Renal cell carcinoma; Surveillance, Epidemiology, and End Results; Nomogram; Nephrectomy; Epidemiology; Cancer registry; Kidney","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00230766,0.0001261652,0.0003324312,0.0001968185,0.0001082987,0.00002129194,0.0005693401,0.00002577018,0.00001150268],"category_scores_gemma":[0.00003520262,0.00008453624,0.00005330663,0.0008098367,0.0006381873,0.0001135262,0.0004956655,0.0001244827,0.0000012091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005860162,"about_ca_system_score_gemma":0.0002756396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001329169,"about_ca_topic_score_gemma":0.00002600178,"domain_scores_codex":[0.9981133,0.0003402351,0.0004039907,0.0004368038,0.0004272365,0.0002783879],"domain_scores_gemma":[0.9990568,0.0001732813,0.0001955008,0.0003733139,0.0001149184,0.00008620077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004983362,0.0003297917,0.8534337,0.0001243722,0.00004797492,0.0002319651,0.001434147,0.005988459,0.1340004,0.0003737607,0.0001523792,0.003384678],"study_design_scores_gemma":[0.002259088,0.0009438347,0.9812719,0.00002806455,0.00008154415,0.00001831683,0.00008665368,0.01006411,0.005041088,0.00006459588,0.00008314537,0.00005765295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952263,0.0002525581,0.0000514273,0.0002338941,0.0001272203,0.001002853,0.0001429553,0.000009299538,0.002953505],"genre_scores_gemma":[0.9994028,0.0001023679,0.0002765176,0.00003584285,0.00001660833,0.00003695286,0.00002458777,0.00001604047,0.00008834593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1289593,"threshold_uncertainty_score":0.3447288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07813836843834139,"score_gpt":0.3109338814251202,"score_spread":0.2327955129867789,"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."}}