{"id":"W2080221673","doi":"10.1002/cncr.25122","title":"Highly predictive survival nomogram after upper urinary tract urothelial carcinoma","year":2010,"lang":"en","type":"article","venue":"Cancer","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Nomogram; Medicine; Urology; Proportional hazards model; Cohort; Upper urinary tract; Bladder cancer; Surveillance, Epidemiology, and End Results; Renal pelvis; Cancer; Nephrectomy; Oncology; Internal medicine; Ureter; Surgery; Urinary system; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006693382,0.0002597287,0.0003287304,0.00008010124,0.00007251525,0.00002299549,0.0001059428,0.0001747567,0.003108313],"category_scores_gemma":[0.00001501369,0.0002065973,0.000186695,0.0001328177,0.0001401699,0.0001205098,0.00003595649,0.0004454582,0.0001422723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001226526,"about_ca_system_score_gemma":0.0004004111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005093287,"about_ca_topic_score_gemma":0.00006313224,"domain_scores_codex":[0.9986406,0.00002675274,0.000201778,0.0004223447,0.0003112147,0.0003973272],"domain_scores_gemma":[0.9991169,0.00002885619,0.00004867067,0.0004085863,0.0001146983,0.0002822792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003527271,0.001075394,0.973703,0.00007325755,0.0002163043,0.0004604748,0.0006975406,0.000001858415,0.005833745,0.00004981653,0.001543208,0.01281809],"study_design_scores_gemma":[0.003317341,0.001011358,0.9390587,0.00004363849,0.0003149478,0.0001319055,0.0000448041,0.00005095022,0.004184564,0.00006059488,0.05155037,0.000230779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796153,0.000987587,0.00003388714,0.0009404126,0.00268459,0.0006156267,0.0003233545,0.0001165013,0.01468275],"genre_scores_gemma":[0.9915136,0.00007913041,0.0001445039,0.0008064437,0.002310854,0.0005757391,0.00002405959,0.00006508171,0.004480656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05000717,"threshold_uncertainty_score":0.997803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343157378553044,"score_gpt":0.2819348742464822,"score_spread":0.2685033004609518,"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."}}