{"id":"W2795456235","doi":"10.14740/wjnu285w","title":"The Impact of MRI-TRUS Cognitively Targeted Biopsy on the Incidence of Pathologic Upgrading After Radical Prostatectomy","year":2018,"lang":"en","type":"article","venue":"World Journal of Nephrology and Urology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Prostatectomy; Biopsy; Prostate cancer; Prostate biopsy; Radiology; Magnetic resonance imaging; Prostate; Incidence (geometry); Urology; Lesion; Surgery; Cancer; Internal medicine","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":[0.001915928,0.0002127449,0.0002564173,0.0009306946,0.0002011489,0.0005014696,0.0004781147,0.0002466165,0.0006363677],"category_scores_gemma":[0.01149995,0.0001277452,0.0003899153,0.0005652267,0.0003936062,0.0003988331,0.0002945853,0.0003244922,0.0001022639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003728218,"about_ca_system_score_gemma":0.0003564142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002218885,"about_ca_topic_score_gemma":0.002969695,"domain_scores_codex":[0.9983371,0.0005724321,0.0001856397,0.000239569,0.0005102303,0.0001549926],"domain_scores_gemma":[0.9904344,0.00323295,0.004208125,0.0004997482,0.001081709,0.0005430497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000132892,0.00001550668,0.9958585,0.0000101192,0.00003561233,0.0000619526,0.00001307279,0.00005515767,0.0001412846,0.000005671457,0.00002618202,0.003643928],"study_design_scores_gemma":[0.000002140624,0.0001795795,0.9989103,0.00000657966,0.00004233057,0.000419592,0.00003582354,0.000142629,0.0001916645,0.000005499693,0.00006141753,0.000002386393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980573,0.001167603,0.0001506287,0.00004655942,0.00001108083,0.000006707425,0.00006956195,0.00000586674,0.0004845994],"genre_scores_gemma":[0.9997509,0.0000942487,0.00006840392,0.00001194524,0.00001419764,0.000001414827,0.00004113645,0.000001265617,0.00001642077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002218885,"threshold_uncertainty_score":0.01013255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316257058296089,"score_gpt":0.2887483290975743,"score_spread":0.2755857585146134,"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."}}