{"id":"W3194907215","doi":"10.1177/17562872211039583","title":"Multiparametric magnetic resonance imaging for bladder cancer: a comprehensive systematic review of the Vesical Imaging-Reporting and Data System (VI-RADS) performance and potential clinical applications","year":2021,"lang":"en","type":"review","venue":"Therapeutic Advances in Urology","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Bladder cancer; Magnetic resonance imaging; Prospective cohort study; Retrospective cohort study; MEDLINE; Cancer; Radiology; Medical physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008909866,0.0004364886,0.003714159,0.000132428,0.0001108786,0.00001582744,0.0004538257,0.000143713,0.000005181336],"category_scores_gemma":[0.0003389665,0.0002852523,0.0002623249,0.0005164466,0.0005052753,0.0001059989,0.0003332641,0.0004897942,9.507509e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009306458,"about_ca_system_score_gemma":0.0004382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001379757,"about_ca_topic_score_gemma":0.000003244442,"domain_scores_codex":[0.9951966,0.0005893601,0.002626581,0.0009604464,0.0002566382,0.0003704206],"domain_scores_gemma":[0.9955059,0.0009266178,0.002083886,0.001190234,0.0002083315,0.00008507358],"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":[0.00002527981,0.00005650939,0.0006920602,0.4257747,0.0001146161,0.00001091615,0.00001115534,6.399827e-7,2.304181e-7,0.00003283306,0.00000616146,0.5732749],"study_design_scores_gemma":[0.002817465,0.0003013656,0.0009746033,0.5723542,0.02162711,0.003235805,0.0001118732,0.005325241,6.069184e-7,0.00003919871,0.3926454,0.0005670991],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002112332,0.9920661,0.0006768336,0.000185299,0.0002778322,0.006565865,0.0001493404,0.00002463072,0.00003297879],"genre_scores_gemma":[0.00301788,0.9933548,0.0005183113,0.0007483736,0.0001617342,0.002062292,0.00005551949,0.00005921051,0.00002185406],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5727078,"threshold_uncertainty_score":0.9999599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07545497741378115,"score_gpt":0.4343697831809522,"score_spread":0.358914805767171,"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."}}