{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001727639,0.000125803,0.0004978636,0.0001717903,0.00005336931,0.00002107706,0.0001250969,0.00002249089,0.00005781687],"category_scores_gemma":[0.0007640152,0.00009830626,0.0001403009,0.00007670817,0.0001318232,0.0002235118,0.000026246,0.0001040872,2.497002e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002106058,"about_ca_system_score_gemma":0.0004690286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001961832,"about_ca_topic_score_gemma":0.00004622667,"domain_scores_codex":[0.9981042,0.00005979047,0.0007581012,0.0001663479,0.0007157353,0.0001958881],"domain_scores_gemma":[0.9968308,0.0001417754,0.001105601,0.0003151565,0.00153894,0.00006772603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003231145,0.0002292322,0.497376,0.0001659101,0.00001599926,0.00002686787,0.0003398783,0.00007536203,0.001433341,0.0000080058,0.0004236408,0.4995827],"study_design_scores_gemma":[0.008579653,0.0009259774,0.9559723,0.004140722,0.0005764457,0.00003673453,0.0001631774,0.005208753,0.02190003,0.001012335,0.001394682,0.00008921546],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8781737,0.1171078,0.00002413095,0.003364677,0.0002182722,0.0009742213,0.00003110739,0.000001731196,0.0001043386],"genre_scores_gemma":[0.9809285,0.01616208,0.002515329,0.00005973582,0.00006395658,0.000215606,0.000001508168,0.00001790577,0.00003538134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4994935,"threshold_uncertainty_score":0.4008813,"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."}}