{"id":"W4389143002","doi":"10.3390/curroncol30120740","title":"Identifying Optimal Candidates for Trimodality Therapy among Nonmetastatic Muscle-Invasive Bladder Cancer Patients","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Nomogram; Medicine; Bladder cancer; Receiver operating characteristic; Propensity score matching; Area under the curve; Confounding; Logistic regression; Internal medicine; Cystectomy; Urology; Oncology; Cancer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000882149,0.0003601401,0.0006752737,0.0007420046,0.0002892734,0.0007249225,0.000348993,0.0004343294,0.001481542],"category_scores_gemma":[0.002649101,0.0001424058,0.0008159217,0.000593694,0.0001698256,0.0005660785,0.0004447754,0.0004790056,0.0002995684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002795761,"about_ca_system_score_gemma":0.0007004768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006485787,"about_ca_topic_score_gemma":0.001503121,"domain_scores_codex":[0.9996456,0.0001202838,0.00003785078,0.00008053047,0.00005522636,0.00006055551],"domain_scores_gemma":[0.999184,0.0002818584,0.0002782019,0.00004799401,0.00006872262,0.000139258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005288772,0.00008878329,0.9779847,0.00004877885,0.00009085259,0.0001479465,0.00004960085,0.001208918,0.0004659562,0.0001104391,0.0004482117,0.01882695],"study_design_scores_gemma":[0.0000709583,0.0008654867,0.9571925,0.0001024386,0.0005568234,0.001268502,0.0005163589,0.03514431,0.001108129,0.001142564,0.002001803,0.00003018944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994837,0.001445426,0.002338711,0.0003936153,0.00002579354,0.00003120902,0.000370322,0.00001599626,0.0005420155],"genre_scores_gemma":[0.9982457,0.0002827544,0.0007717567,0.00005276221,0.00003686326,0.00001473317,0.0004822631,0.000003023936,0.0001100983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001481542,"threshold_uncertainty_score":0.004956245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1448097656043744,"score_gpt":0.4389011184287231,"score_spread":0.2940913528243487,"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."}}