{"id":"W2787761586","doi":"10.1016/j.juro.2018.01.081","title":"Role of Magnetic Resonance Imaging Targeted Biopsy in Detection of Prostate Cancer Harboring Adverse Pathological Features of Intraductal Carcinoma and Invasive Cribriform Carcinoma","year":2018,"lang":"en","type":"article","venue":"The Journal of Urology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Medicine; Cribriform; Magnetic resonance imaging; Pathological; Prostate cancer; Biopsy; Carcinoma; Pathology; Radiology; Prostate carcinoma; Prostate; 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":[0.0002744356,0.0001058696,0.0003794775,0.0001493224,0.00002382415,0.000001332123,0.00007345461,0.00004975682,0.00001511248],"category_scores_gemma":[0.00009192356,0.0000668326,0.00005257388,0.0001472306,0.0004197651,0.00006078816,0.00004226491,0.000192113,1.282567e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005779266,"about_ca_system_score_gemma":0.0001187386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004849053,"about_ca_topic_score_gemma":0.0001432025,"domain_scores_codex":[0.9990667,0.00009603561,0.0004310459,0.0001051613,0.0001301974,0.000170896],"domain_scores_gemma":[0.9990661,0.00009817376,0.0004181844,0.0001195693,0.0002489612,0.00004898472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002316956,0.00008698486,0.6097177,0.00004670321,0.00001853035,0.00007933186,0.002290015,0.00000534945,0.3681074,0.00001232817,0.000006354131,0.01731233],"study_design_scores_gemma":[0.001552184,0.00270167,0.7382163,0.00006844008,0.0001279888,0.0006209551,0.0004469113,0.00004588412,0.2560008,0.0001603872,0.00002245594,0.00003606936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542387,0.04490463,0.000002151946,0.0005012662,0.00009253464,0.000204504,0.000019258,0.000001967182,0.00003501424],"genre_scores_gemma":[0.9975333,0.002207776,0.0001063032,0.00005767155,0.00007541245,0.000006872414,7.060275e-7,0.000008658415,0.00000332963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1284986,"threshold_uncertainty_score":0.2725354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007877429384991448,"score_gpt":0.2354714057933864,"score_spread":0.2275939764083949,"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."}}