{"id":"W1494521255","doi":"10.1016/j.eururo.2015.08.038","title":"Synopsis of the PI-RADS v2 Guidelines for Multiparametric Prostate Magnetic Resonance Imaging and Recommendations for Use","year":2015,"lang":"en","type":"editorial","venue":"European Urology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":541,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; Health Sciences Centre","funders":"National Institutes of Health","keywords":"Medicine; Prostate cancer; Prostatitis; Prostate; Context (archaeology); Magnetic resonance imaging; Biopsy; Radiology; Artificial intelligence; Cancer; Computer science; 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":[0.01083089,0.002693758,0.004386098,0.005798023,0.001950387,0.007435753,0.003686399,0.01502585,0.01223398],"category_scores_gemma":[0.05004891,0.001395174,0.003706684,0.002568954,0.002219663,0.004364006,0.002031852,0.02231586,0.01390211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003629396,"about_ca_system_score_gemma":0.005636027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003510996,"about_ca_topic_score_gemma":0.006871486,"domain_scores_codex":[0.9921887,0.001588561,0.001577061,0.0006257986,0.003622222,0.0003976911],"domain_scores_gemma":[0.9574167,0.01568223,0.003953575,0.0007267304,0.01906378,0.003157052],"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":[0.00002517857,0.000006952612,0.00001750617,0.0002821583,0.00001478338,0.00005373379,0.000008837935,0.00002086131,0.00003202465,0.0002278745,0.9921936,0.00711644],"study_design_scores_gemma":[0.0000688785,0.00002329893,0.0002195636,0.001701484,0.00006271867,0.0002772076,0.00002297086,0.0001054661,0.00007980276,0.0006826244,0.9967265,0.00002954252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002838209,0.02522152,0.0004127756,0.07403999,0.8977665,0.00004680495,0.0001498288,0.00007657765,0.002257664],"genre_scores_gemma":[0.0002700116,0.02000251,0.0005088833,0.07485885,0.896202,0.00009364541,0.0001412068,0.00006877069,0.00785404],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01502585,"threshold_uncertainty_score":0.05727983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06155939012744741,"score_gpt":0.3432370916277551,"score_spread":0.2816777015003077,"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."}}