{"id":"W2085420626","doi":"10.1016/j.eururo.2008.01.004","title":"Nomograms for Bladder Cancer","year":2008,"lang":"en","type":"review","venue":"European Urology","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Nomogram; Medicine; Generalizability theory; Bladder cancer; Clinical trial; Predictive modelling; MEDLINE; Clinical study design; Medical physics; Intensive care medicine; Cancer; Oncology; Machine learning; Internal medicine; Statistics; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008140876,0.0004666696,0.001546894,0.0001431984,0.00008904131,0.00000934027,0.0001992589,0.0001956903,0.0004409029],"category_scores_gemma":[0.00004159255,0.000343631,0.000752595,0.0001472764,0.0001265204,0.00001829113,0.00006541614,0.0003528949,0.0007320516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008194052,"about_ca_system_score_gemma":0.0003803685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000213229,"about_ca_topic_score_gemma":0.000005663835,"domain_scores_codex":[0.9981431,0.0002207405,0.0004629979,0.00059889,0.0001183283,0.000455919],"domain_scores_gemma":[0.9989459,0.0001150857,0.0001988663,0.0004913417,0.00006847949,0.0001803129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005452907,0.0001063635,0.00001247232,0.001708593,0.0008523959,0.0003164731,0.00003946225,1.529344e-7,1.325512e-7,0.00002214209,0.03452644,0.9623609],"study_design_scores_gemma":[0.001171785,0.0007338634,0.00003475782,0.000523525,0.002742036,0.0008907928,0.000001039567,8.366384e-7,2.477483e-7,0.000005362079,0.9936451,0.0002506192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001368678,0.9651974,0.00007809267,0.0001655462,0.0007987312,0.001521632,0.0001904614,0.0001171726,0.03192957],"genre_scores_gemma":[0.000009669412,0.9879075,0.0001803086,0.00160077,0.00186956,0.0003549173,0.0003387548,0.0002410774,0.007497425],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9621102,"threshold_uncertainty_score":0.9999016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08507779769368708,"score_gpt":0.3759497747433012,"score_spread":0.2908719770496141,"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."}}