{"id":"W2128165053","doi":"10.1002/pros.21159","title":"Predictive models before and after radical prostatectomy","year":2010,"lang":"en","type":"review","venue":"The Prostate","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Prostatectomy; Nomogram; Medicine; Decision tree; Context (archaeology); Predictive modelling; Prostate cancer; Regression; Machine learning; Artificial intelligence; Computer science; Oncology; Statistics; Internal medicine; Cancer","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":[0.0002836291,0.0006119887,0.00152925,0.0001124016,0.0001354575,0.00007681362,0.0001492592,0.0003160348,0.00004565898],"category_scores_gemma":[0.00002595911,0.0003041772,0.0003459381,0.0002015836,0.0005049571,0.0001201434,0.0001984765,0.00110902,0.00005195548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001746368,"about_ca_system_score_gemma":0.0004841621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001648685,"about_ca_topic_score_gemma":0.00001581554,"domain_scores_codex":[0.9978666,0.00009926479,0.0005306273,0.0006496733,0.0003350314,0.0005188481],"domain_scores_gemma":[0.998569,0.0001063478,0.0002425009,0.0006906961,0.00009092271,0.000300507],"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":[0.0002144852,0.0001399448,0.00009637973,0.007592655,0.0004308062,0.0002054709,0.0007967243,3.866752e-7,1.178218e-7,0.0001759975,0.0002100383,0.990137],"study_design_scores_gemma":[0.001181365,0.0008263384,0.0001670647,0.01167983,0.003176631,0.0004792726,0.00001753942,0.00007672325,0.000005135503,0.002827872,0.97926,0.0003022926],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004475148,0.991028,0.00001896237,0.0005180467,0.0001959692,0.006318687,0.0007035296,0.0001044313,0.000664909],"genre_scores_gemma":[0.0007002012,0.9922466,0.0001909094,0.0002109847,0.0002423453,0.00506309,0.0002462367,0.0001258482,0.0009737876],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9898347,"threshold_uncertainty_score":0.9999411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02216396055258347,"score_gpt":0.3040177199100612,"score_spread":0.2818537593574777,"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."}}