{"id":"W4307957580","doi":"10.1016/j.euros.2022.09.019","title":"Micro-ultrasound Versus Magnetic Resonance Imaging in Prostate Cancer Active Surveillance","year":2022,"lang":"en","type":"article","venue":"European Urology Open Science","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University Hospital Foundation; Alberta Cancer Foundation","keywords":"Medicine; Magnetic resonance imaging; Prostate cancer; Ultrasound; Prostate; Confidence interval; Odds ratio; Biopsy; Radiology; Nuclear medicine; Cancer; 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":[0.00714356,0.0003033341,0.0004400306,0.001029957,0.0002146328,0.001006637,0.0004078177,0.0006292256,0.004881892],"category_scores_gemma":[0.02463209,0.0002394648,0.0007876516,0.0007652788,0.0003728147,0.001032838,0.0005816449,0.0007634981,0.0004798861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002587482,"about_ca_system_score_gemma":0.000346125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006745482,"about_ca_topic_score_gemma":0.001571384,"domain_scores_codex":[0.995987,0.002784143,0.0002627677,0.0002865878,0.0005097612,0.0001697741],"domain_scores_gemma":[0.9704381,0.02335021,0.004187718,0.0005566995,0.0006440911,0.0008231591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005484568,0.0002036083,0.9382714,0.0004620509,0.001128966,0.0002882427,0.0001733031,0.0006936566,0.0005546483,0.0003859814,0.0007909483,0.05156272],"study_design_scores_gemma":[0.0003948756,0.004029159,0.9687991,0.0003017881,0.002001078,0.004921193,0.0003529345,0.0126196,0.001444477,0.001164419,0.003930811,0.00004066287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605707,0.02554396,0.002081204,0.001442033,0.0003397998,0.0001003954,0.0003359224,0.00006846085,0.00951752],"genre_scores_gemma":[0.9980135,0.0006086992,0.0006364489,0.0001342424,0.0001681689,0.00001441094,0.00003939643,0.000005264225,0.0003797511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00714356,"threshold_uncertainty_score":0.03777921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01959859192697053,"score_gpt":0.3037287204907143,"score_spread":0.2841301285637438,"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."}}