{"id":"W2164741834","doi":"10.1016/j.eururo.2008.05.024","title":"Prostate Cancer Diagnosis: Importance of Individualized Risk Stratification Models over PSA Alone","year":2008,"lang":"en","type":"letter","venue":"European Urology","topic":"AI in cancer detection","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Artificial intelligence; Pattern recognition (psychology); Feature selection; Segmentation; Support vector machine; Feature extraction; Medicine; Preprocessor; Naive Bayes classifier; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005221418,0.0004262008,0.0005501457,0.0002821686,0.0001407918,0.00005989211,0.001560898,0.0003672877,0.0000832648],"category_scores_gemma":[0.00005907516,0.0004332488,0.000154766,0.0004375277,0.0002416771,0.000465193,0.0003332405,0.001602614,0.00006206822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001162785,"about_ca_system_score_gemma":0.0001998328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002335458,"about_ca_topic_score_gemma":0.00004531617,"domain_scores_codex":[0.9956818,0.001243114,0.0008473736,0.001156547,0.0005450109,0.0005262088],"domain_scores_gemma":[0.9964898,0.0002147816,0.001547121,0.001495918,0.0001898177,0.00006256568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002977932,0.00004556308,0.007495413,0.00006541462,0.0001682009,0.0003297052,0.001274685,0.002692236,0.00002953711,0.0001764247,0.9765333,0.01115974],"study_design_scores_gemma":[0.001486842,0.0005412328,0.02005755,0.00006072395,0.0001895348,0.0001046341,0.0000036009,0.012426,0.0004228456,0.004331436,0.9593843,0.0009913219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.05617639,0.02055969,0.2733297,0.5995329,0.01236371,0.005438173,0.002476609,0.002509422,0.02761341],"genre_scores_gemma":[0.2671801,0.02695575,0.01708288,0.67675,0.006916284,0.001855871,0.0005781667,0.0005435043,0.002137484],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2562468,"threshold_uncertainty_score":0.9998119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02599476209570327,"score_gpt":0.2512479339943554,"score_spread":0.2252531718986521,"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."}}