{"id":"W2995626084","doi":"10.14740/wjon1230","title":"Combining Prostate-Specific Antigen Parameters With Prostate Imaging Reporting and Data System Score Version 2.0 to Improve Its Diagnostic Accuracy","year":2019,"lang":"en","type":"article","venue":"World Journal of Oncology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Prostate cancer; Prostate; Rectal examination; Urology; Ultrasound; Biopsy; Prostate-specific antigen; Lower urinary tract symptoms; Magnetic resonance imaging; Prostate biopsy; Radiology; Internal medicine; Cancer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003564834,0.0008144652,0.000810957,0.001899627,0.0001771428,0.0008912872,0.0004764523,0.0003626432,0.00163305],"category_scores_gemma":[0.005652314,0.0002457115,0.0007601441,0.001428403,0.0002213719,0.0007175212,0.0007372192,0.0006698983,0.0006021966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001736736,"about_ca_system_score_gemma":0.0003723183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006408173,"about_ca_topic_score_gemma":0.0009761447,"domain_scores_codex":[0.998334,0.0008127624,0.0001968756,0.0002514252,0.0002964497,0.000108528],"domain_scores_gemma":[0.9965198,0.001107842,0.001204501,0.0002264518,0.0006128969,0.0003285516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002199063,0.00004664452,0.9931474,0.00002564232,0.000122462,0.00001785272,0.00001033623,0.0001462959,0.0002903411,0.00001145375,0.0001699597,0.005791706],"study_design_scores_gemma":[0.00006942576,0.001040451,0.9910604,0.00003395547,0.0002381714,0.0007613212,0.00005222958,0.004864509,0.000861919,0.0001041691,0.0008889905,0.00002441712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901187,0.002125845,0.003336525,0.0001963929,0.00009845199,0.0001781416,0.001293994,0.0001043988,0.002547495],"genre_scores_gemma":[0.9949937,0.0001871003,0.003321824,0.00005933247,0.00005968478,0.0000617577,0.001039187,0.00001070913,0.0002666085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003564834,"threshold_uncertainty_score":0.01885289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04148457305101674,"score_gpt":0.3275888453513383,"score_spread":0.2861042723003215,"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."}}