{"id":"W2114417162","doi":"10.1016/j.eururo.2006.08.039","title":"Development and External Validation of an Extended 10-Core Biopsy Nomogram","year":2006,"lang":"en","type":"article","venue":"European Urology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":155,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Nomogram; Medicine; Biopsy; Prostate biopsy; Prostate cancer; Logistic regression; Radiology; Urology; Cancer; Internal medicine","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":[0.03540179,0.0008597854,0.0009006964,0.002214405,0.0008414148,0.001606751,0.001239079,0.001168948,0.002420514],"category_scores_gemma":[0.05650113,0.0004329799,0.0008973013,0.001037399,0.0008382965,0.001249552,0.002577061,0.0006561236,0.001187722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006929058,"about_ca_system_score_gemma":0.001855936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001773141,"about_ca_topic_score_gemma":0.003361011,"domain_scores_codex":[0.9870889,0.006488443,0.001426607,0.00182041,0.002672517,0.000503144],"domain_scores_gemma":[0.9467848,0.02577348,0.00258782,0.008193355,0.01554866,0.001111936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003983531,0.0007599914,0.6747596,0.000568164,0.001255133,0.0004410424,0.001511474,0.0129577,0.02231377,0.001233145,0.006040493,0.274176],"study_design_scores_gemma":[0.0006360767,0.001742342,0.8880869,0.000249823,0.001228192,0.001811171,0.0004605372,0.06295108,0.01449648,0.001359451,0.02685921,0.0001187036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8998829,0.001180558,0.08411828,0.0002845471,0.0003407283,0.001603859,0.003245899,0.0007299495,0.008613224],"genre_scores_gemma":[0.9348354,0.0001806109,0.055987,0.0001773562,0.0001066982,0.0008825096,0.005739977,0.0001857798,0.001904735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03540179,"threshold_uncertainty_score":0.1872248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02233009402609563,"score_gpt":0.267319752371696,"score_spread":0.2449896583456003,"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."}}