{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002358871,0.001760468,0.003446292,0.007090854,0.0004894165,0.001367214,0.001570353,0.0009425234,0.005081811],"category_scores_gemma":[0.006857731,0.0006125239,0.002108276,0.006265409,0.0008884451,0.00269127,0.00131155,0.001746259,0.00187867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008215706,"about_ca_system_score_gemma":0.002210797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002043991,"about_ca_topic_score_gemma":0.005056554,"domain_scores_codex":[0.9989655,0.0004115998,0.0001743955,0.0001230397,0.0002831475,0.00004231782],"domain_scores_gemma":[0.9974605,0.001497603,0.0004773352,0.00009057121,0.0003973001,0.00007677668],"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":[0.00006160163,0.00002370026,0.001023932,0.01933063,0.0003939018,0.0001036702,0.00004312097,0.0008011097,0.0001625388,0.001577282,0.04087493,0.9356035],"study_design_scores_gemma":[0.00009090863,0.0002086607,0.009758917,0.03315684,0.002432022,0.004275639,0.0002283247,0.001438932,0.0007776573,0.006610462,0.9408969,0.0001246312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002693841,0.9959347,0.001399792,0.0004950761,0.000615651,0.00002332189,0.0001621627,0.00004092166,0.001058895],"genre_scores_gemma":[0.004059258,0.9903901,0.003103337,0.0005741891,0.000590001,0.00004651329,0.0003796949,0.00001235147,0.000844536],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007090854,"threshold_uncertainty_score":0.01700032,"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."}}