{"id":"W3182423013","doi":"10.1097/ju.0000000000001972.15","title":"MP05-15 TRANSPERINEAL VS TRANSRECTAL MICRO-ULTRASOUND AND MPMRI TARGETED PROSTATE BIOPSIES: PROPENSITY SCORE-MATCHED STUDY","year":2021,"lang":"en","type":"article","venue":"The Journal of Urology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Prostate cancer; Prostate; Biopsy; Prostate biopsy; Ultrasound; Radiology; Urology; Cancer; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00208367,0.000360221,0.0007407155,0.0003788626,0.0003433656,0.0009727617,0.0005665192,0.0006994056,0.006798375],"category_scores_gemma":[0.004163278,0.0004163293,0.002091432,0.0006320866,0.0002858325,0.0008312715,0.0006731145,0.000725031,0.001042423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003609181,"about_ca_system_score_gemma":0.0004027959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004626267,"about_ca_topic_score_gemma":0.0005233582,"domain_scores_codex":[0.9985158,0.000306701,0.0002407622,0.0004755334,0.0002963587,0.0001647409],"domain_scores_gemma":[0.9979839,0.0004235479,0.000698866,0.0005339732,0.0001564983,0.0002032468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1015553,0.001411749,0.8250934,0.0007928661,0.01102837,0.0004691626,0.0002174227,0.001007339,0.00336094,0.001371563,0.009669608,0.04402213],"study_design_scores_gemma":[0.008117213,0.01621825,0.9496834,0.0003198904,0.007325221,0.00135248,0.0003633382,0.005080129,0.001082414,0.001234868,0.009132331,0.00009047778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882753,0.003941395,0.002817105,0.0001966924,0.0003208568,0.0004574602,0.001950085,0.00003445048,0.002006664],"genre_scores_gemma":[0.9965358,0.0002926655,0.0005053882,0.0002238991,0.0001532109,0.000191771,0.001278046,0.00001463727,0.0008044913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006798375,"threshold_uncertainty_score":0.02274287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268046665143084,"score_gpt":0.2584450633576052,"score_spread":0.2357645967061744,"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."}}