{"id":"W2619460247","doi":"10.21037/tau.2017.04.31","title":"Role of mpMRI of the prostate in screening for prostate cancer","year":2017,"lang":"en","type":"review","venue":"Translational Andrology and Urology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Prostate cancer; Nomogram; Prostate; Prostate cancer screening; Magnetic resonance imaging; Cancer; Stage (stratigraphy); Prostate-specific antigen; Oncology; Prostate biopsy; Management of prostate cancer; Radiology; Disease; Gynecology; 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":[0.00115006,0.0006546785,0.001389742,0.004158629,0.0002821344,0.001256498,0.0009994511,0.001070029,0.003131927],"category_scores_gemma":[0.002037048,0.0002826352,0.0007480989,0.002772621,0.0007626117,0.001622446,0.000700791,0.00188022,0.001319468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007695323,"about_ca_system_score_gemma":0.001807765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002456133,"about_ca_topic_score_gemma":0.004034894,"domain_scores_codex":[0.999553,0.0001118556,0.00008727921,0.0000626215,0.0001589099,0.00002628519],"domain_scores_gemma":[0.9988231,0.0007121987,0.0001341847,0.00003248383,0.000247454,0.00005055517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00004034607,0.00003536838,0.0004618167,0.02398273,0.0001364835,0.0002496331,0.00008231634,0.0002235555,0.0003994794,0.002167466,0.01759476,0.954626],"study_design_scores_gemma":[0.00001970718,0.00008732462,0.002837888,0.02251202,0.0003144165,0.00471408,0.0001365973,0.0001203689,0.000353803,0.002514597,0.966356,0.00003312567],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005253904,0.9990805,0.0000414959,0.0002548199,0.00007830586,0.000002317925,0.000008875066,0.00000252593,0.0004786089],"genre_scores_gemma":[0.0004587338,0.9990962,0.00009090497,0.0001389827,0.00009076481,0.000002487211,0.00001328192,8.488675e-7,0.0001078792],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004158629,"threshold_uncertainty_score":0.01047736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07007245617046574,"score_gpt":0.3722467009255477,"score_spread":0.302174244755082,"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."}}