{"id":"W2914008309","doi":"10.1148/radiol.2019180712","title":"Value of Increasing Biopsy Cores per Target with Cognitive MRI-targeted Transrectal US Prostate Biopsy","year":2019,"lang":"en","type":"article","venue":"Radiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research; Lunenfeld-Tanenbaum Research Institute; Sunnybrook Hospital; Health Sciences Centre; Mount Sinai Hospital; Sunnybrook Health Science Centre","funders":"Ontario Institute for Cancer Research","keywords":"Medicine; Prostate cancer; Biopsy; Lesion; Radiology; Prostate; Cancer detection; Cancer; Nuclear medicine; Urology; Pathology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003261076,0.0004564118,0.0005234209,0.0007279262,0.0003548013,0.0008270694,0.0007291842,0.0006076536,0.0007451955],"category_scores_gemma":[0.01790995,0.0003413297,0.0005624758,0.0003965071,0.0004386912,0.0009643794,0.0005001578,0.0004599537,0.0002283128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005497458,"about_ca_system_score_gemma":0.0004774939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001543175,"about_ca_topic_score_gemma":0.00315059,"domain_scores_codex":[0.9967622,0.001206531,0.0002680841,0.0006011702,0.001002384,0.0001596401],"domain_scores_gemma":[0.9910308,0.004038559,0.002466607,0.0006911812,0.001047225,0.0007256363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002083765,0.0001082156,0.9602926,0.00006733793,0.00009376903,0.0001842985,0.00006514614,0.0006307344,0.004095019,0.00003385499,0.0001365048,0.03220876],"study_design_scores_gemma":[0.00005080059,0.002424685,0.9871639,0.00003319456,0.0002129506,0.001845434,0.0001224528,0.003275864,0.004264586,0.00008769455,0.0004935663,0.00002488079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99505,0.001493458,0.001831182,0.0001184102,0.00003279781,0.00003838242,0.00006642794,0.00005318514,0.001316184],"genre_scores_gemma":[0.9978891,0.0001124596,0.001805218,0.00005003899,0.00002780122,0.00001302818,0.00003324668,0.00000402333,0.00006510346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003261076,"threshold_uncertainty_score":0.01724643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007085414501603026,"score_gpt":0.2442025713050235,"score_spread":0.2371171568034205,"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."}}