{"id":"W4414412870","doi":"10.1002/bco2.70079","title":"Multiparametric MRI combined with PSA density as a noninvasive rule‐out strategy in active surveillance for prostate cancer","year":2025,"lang":"en","type":"article","venue":"BJUI Compass","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital","funders":"","keywords":"Prostate cancer; Multiparametric MRI; Triage; Predictive value; Active monitoring; Prostate","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":[0.002387996,0.0006092484,0.0007758163,0.00110049,0.0002326926,0.0008755453,0.0006226921,0.0006192196,0.0006137915],"category_scores_gemma":[0.005900297,0.0004345727,0.0004576886,0.000444158,0.0003526798,0.0005636407,0.000484607,0.0004552376,0.0002332788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001736562,"about_ca_system_score_gemma":0.0002725101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005517382,"about_ca_topic_score_gemma":0.001187457,"domain_scores_codex":[0.9989436,0.0005886147,0.00008803715,0.0001392852,0.0001815967,0.000058883],"domain_scores_gemma":[0.9971758,0.001296782,0.0007179572,0.0001380583,0.0002825574,0.0003887549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001082901,0.0001035483,0.9890698,0.00003735004,0.00006513342,0.0001495742,0.00004607358,0.0001708336,0.001469071,0.000007405892,0.00008110316,0.007717283],"study_design_scores_gemma":[0.0001386643,0.002726461,0.9874203,0.00003731198,0.0002384067,0.002463407,0.000170933,0.004633963,0.00185633,0.00004358029,0.0002503664,0.00002029126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979074,0.001177299,0.0004591691,0.0000576484,0.00001152972,0.00002055331,0.00005769862,0.00001349007,0.0002952923],"genre_scores_gemma":[0.9992504,0.00009840463,0.000515727,0.00001858807,0.0000235107,0.000008186558,0.00005388001,0.000001186545,0.00003019318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002387996,"threshold_uncertainty_score":0.01262909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974019867791761,"score_gpt":0.3110903988998386,"score_spread":0.291350200221921,"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."}}