{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001337013,0.0001687292,0.0002473908,0.0001593595,0.0004423836,0.00008940088,0.000968221,0.000007216926,0.0004762038],"category_scores_gemma":[0.0001686034,0.0001591413,0.00003147945,0.0009374995,0.0006762978,0.000250146,0.001187163,0.0003036074,0.00005066283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005350308,"about_ca_system_score_gemma":0.0005346418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004572752,"about_ca_topic_score_gemma":0.0001489121,"domain_scores_codex":[0.9976554,0.0003218544,0.0002474377,0.0008594343,0.0003329486,0.0005829503],"domain_scores_gemma":[0.9990402,0.0001587182,0.0001067883,0.0004693004,0.00008703595,0.0001379594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002970444,0.0003499599,0.8630315,0.000006976919,0.000008919394,0.001627515,0.001998198,0.0002340794,0.01138609,0.0001198366,0.001794561,0.1164719],"study_design_scores_gemma":[0.004571987,0.0008503633,0.9165786,0.00001373257,0.00001327155,0.0001283387,0.0002899104,0.00006296646,0.0008843549,0.00002405863,0.07640854,0.0001738583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585224,0.00953278,8.381852e-7,0.004577855,0.0006991675,0.001028181,0.0001174331,0.00003184664,0.02548945],"genre_scores_gemma":[0.9957546,0.0006651359,0.0001778584,0.002349201,0.00003510724,0.0002596671,0.00001374892,0.00002743223,0.0007172475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1162981,"threshold_uncertainty_score":0.6489593,"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."}}