{"id":"W4413529474","doi":"10.1177/08465371251365213","title":"The Diagnostic Yield of MRI–Transrectal US Fusion Prostate Biopsy in Patients With Suspected Prostate Cancer","year":2025,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Dalhousie University","funders":"","keywords":"Medicine; Prostate; Prostate cancer; Biopsy; Ultrasound; Magnetic resonance imaging; Prostate biopsy; Radiology; Prostate-specific antigen; Urology; Nuclear medicine; 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":[0.002448334,0.0003777346,0.0003699058,0.001162917,0.0002766581,0.0008223542,0.0006766703,0.000792612,0.001541367],"category_scores_gemma":[0.01614317,0.0003533543,0.0004592091,0.0006822824,0.0004067138,0.0009417744,0.0006122491,0.0004425845,0.0004191923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004128032,"about_ca_system_score_gemma":0.0003836481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009393843,"about_ca_topic_score_gemma":0.001510279,"domain_scores_codex":[0.9980711,0.0008490855,0.0002214102,0.0002597395,0.0004432655,0.0001553679],"domain_scores_gemma":[0.9921392,0.004621657,0.00199461,0.0002755957,0.0005803205,0.0003885878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002637693,0.00001816727,0.9958401,0.00002138915,0.00002975452,0.0001628361,0.00003307024,0.0001320145,0.0003009612,0.00001014955,0.00007686291,0.003110975],"study_design_scores_gemma":[0.00001658213,0.0002585677,0.9914795,0.00003560581,0.0001261177,0.003727483,0.000232996,0.002821074,0.0008457142,0.00008698723,0.000356786,0.00001253983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971671,0.001555599,0.0003455944,0.0001453577,0.00001692114,0.000006566762,0.0001523777,0.00001509992,0.0005955858],"genre_scores_gemma":[0.9995379,0.0001272764,0.0001637449,0.00002117395,0.00002081415,0.000003069657,0.00009856652,0.000001862902,0.00002558596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002448334,"threshold_uncertainty_score":0.01294822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005221056565672793,"score_gpt":0.2304325873487858,"score_spread":0.225211530783113,"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."}}