{"id":"W2057672608","doi":"10.1002/cncr.23908","title":"An updated catalog of prostate cancer predictive tools","year":2008,"lang":"en","type":"review","venue":"Cancer","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":260,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Nomogram; Generalizability theory; Predictive modelling; Prostate cancer; Clinical trial; MEDLINE; Disease; Medical physics; Intensive care medicine; Machine learning; Cancer; Computer science; Oncology; Internal medicine; Statistics","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":[0.001670668,0.001732496,0.003071432,0.0185587,0.0004054265,0.001623399,0.002028355,0.001482107,0.0321706],"category_scores_gemma":[0.006167557,0.000710147,0.001305374,0.01999864,0.0004549597,0.003009538,0.001009285,0.00151615,0.01720308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127728,"about_ca_system_score_gemma":0.003887213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003787513,"about_ca_topic_score_gemma":0.006397853,"domain_scores_codex":[0.9988159,0.0002140006,0.0003590242,0.0001049046,0.0004544357,0.00005171982],"domain_scores_gemma":[0.9965591,0.001710711,0.0005227689,0.0001196837,0.0009505691,0.0001372337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00005327045,0.0000549146,0.0001928449,0.02704972,0.00008997309,0.0002122132,0.00005237599,0.0001851179,0.0004122615,0.00145025,0.1206988,0.8495483],"study_design_scores_gemma":[0.0000403821,0.00005803748,0.001599921,0.01375285,0.0001843309,0.00190098,0.00004110057,0.0001299853,0.0001886545,0.0009967011,0.9810687,0.00003850591],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002300615,0.9889898,0.0009473638,0.0009750064,0.0008249723,0.0001205173,0.001712941,0.0001867244,0.006012506],"genre_scores_gemma":[0.0007986145,0.9857761,0.00424687,0.0007988788,0.0005836717,0.0001394718,0.003408518,0.00002975651,0.004218152],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0321706,"threshold_uncertainty_score":0.1076214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08558351400700404,"score_gpt":0.4252806458500926,"score_spread":0.3396971318430886,"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."}}