{"id":"W3131350001","doi":"10.5489/cuaj.6951","title":"Prostate cancer detection with magnetic resonance imaging (MRI)/cognitive fusion biopsy: Comparing standard and targeted prostate biopsy with final prostatectomy histology","year":2021,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Prostatectomy; Prostate cancer; Biopsy; Concordance; Prostate; Prostate biopsy; Radiology; Magnetic resonance imaging; Histopathology; Grading (engineering); Urology; Pathology; Cancer; Internal medicine","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":[0.005358351,0.0002887435,0.000602562,0.00309754,0.0002637445,0.0008871179,0.0007422539,0.000342456,0.0005517282],"category_scores_gemma":[0.01355494,0.0003114503,0.0007175629,0.001721489,0.0006002168,0.0006342881,0.0007831745,0.0002377821,0.0001547905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004442521,"about_ca_system_score_gemma":0.0004047407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00304167,"about_ca_topic_score_gemma":0.004173711,"domain_scores_codex":[0.9951599,0.001394332,0.0008217252,0.0009337215,0.001488679,0.0002015932],"domain_scores_gemma":[0.9919719,0.002250159,0.003170922,0.0005707633,0.00175152,0.0002846971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000287282,0.00001403187,0.9928024,0.00008183962,0.000189473,0.00007667619,0.00005698933,0.00006416735,0.000415736,0.00001179267,0.00004796475,0.005951527],"study_design_scores_gemma":[0.00001255948,0.000303938,0.9965189,0.00004207382,0.0002065431,0.001379917,0.0001559655,0.0005108003,0.0006404629,0.00001912223,0.0002025965,0.000007187364],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922581,0.005550719,0.0009838631,0.00003311436,0.00001996559,0.00004936208,0.0003227499,0.00001641819,0.0007656965],"genre_scores_gemma":[0.998694,0.0004754772,0.0005817573,0.00001704093,0.00001256788,0.000008742299,0.0001812054,0.00000241918,0.00002664564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005358351,"threshold_uncertainty_score":0.02833802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009451028428174187,"score_gpt":0.227636363057372,"score_spread":0.2181853346291978,"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."}}