{"id":"W2604866556","doi":"10.1002/jmri.25729","title":"Evaluation of MRI for diagnosis of extraprostatic extension in prostate cancer","year":2017,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Receiver operating characteristic; Confidence interval; Prostate cancer; Prostatectomy; Nuclear medicine; Magnetic resonance imaging; Effective diffusion coefficient; Logistic regression; Prostate; Area under the curve; 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":[0.003034915,0.0005021234,0.0003635591,0.001490838,0.0001416552,0.0005577105,0.0003803328,0.0003700324,0.00078767],"category_scores_gemma":[0.008769363,0.0001845224,0.0002286196,0.000371059,0.0003834263,0.0005594136,0.0003925745,0.0002888223,0.0002726814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001731564,"about_ca_system_score_gemma":0.0002191195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004758688,"about_ca_topic_score_gemma":0.001205547,"domain_scores_codex":[0.9989007,0.0005102106,0.0001025295,0.0001277239,0.0002850399,0.00007379527],"domain_scores_gemma":[0.9956219,0.001434889,0.001727661,0.0002078817,0.0006944305,0.0003133498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007331685,0.00007697779,0.968784,0.0001311051,0.0001355072,0.0003027111,0.00005150278,0.0002883785,0.007194016,0.00003932571,0.0002939129,0.0219694],"study_design_scores_gemma":[0.00002493489,0.0005911092,0.9912056,0.00003977181,0.00007401525,0.002982395,0.00006492981,0.001574517,0.002590537,0.00004547982,0.0007920011,0.00001464099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885842,0.006252725,0.00219725,0.0001293928,0.00004647189,0.00006720809,0.0001589062,0.00006519215,0.002498778],"genre_scores_gemma":[0.9979348,0.0004754103,0.001206861,0.00003951482,0.0000470437,0.00001304419,0.0001095436,0.000004829165,0.0001689391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003034915,"threshold_uncertainty_score":0.0160504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04356099053896569,"score_gpt":0.3662393511354083,"score_spread":0.3226783605964426,"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."}}