{"id":"W2801389053","doi":"10.1111/bju.14366","title":"Diagnostic accuracy of magnetic resonance imaging for tumour staging of bladder cancer: systematic review and meta‐analysis","year":2018,"lang":"en","type":"review","venue":"British Journal of Urology","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Queen's University; University of Ottawa","funders":"","keywords":"Medicine; Magnetic resonance imaging; Meta-analysis; Confidence interval; Stage (stratigraphy); Diagnostic accuracy; Bladder cancer; Gold standard (test); Radiology; Nuclear medicine; Internal medicine; Cancer","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":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.02220951,0.002517324,0.01459763,0.006121159,0.0006676841,0.003198951,0.001950806,0.002316421,0.002379914],"category_scores_gemma":[0.06557371,0.001540613,0.0356859,0.007076995,0.0009227546,0.001945125,0.001491728,0.001943402,0.0002881503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002451218,"about_ca_system_score_gemma":0.003509857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008507075,"about_ca_topic_score_gemma":0.01943419,"domain_scores_codex":[0.9826496,0.009179027,0.00451407,0.001558918,0.00171696,0.0003815807],"domain_scores_gemma":[0.9490125,0.04075807,0.00605058,0.001450483,0.002436877,0.0002915274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001211093,0.00001366352,0.007401152,0.3454343,0.6364951,0.0001101482,0.00007988742,0.0004585299,0.0001918186,0.0001057479,0.0005490374,0.007949536],"study_design_scores_gemma":[0.0002636015,0.00009530941,0.004219371,0.02291203,0.9710206,0.000089317,0.00002785378,0.0001843116,0.0001122507,0.0001339889,0.0009239837,0.00001740653],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005174994,0.9927972,0.0006145507,0.0002236671,0.0001418574,0.00023549,0.0005515121,0.00002451481,0.0002361688],"genre_scores_gemma":[0.2689395,0.7231333,0.003448515,0.001204015,0.0003816243,0.001253419,0.001237639,0.00004973065,0.000352285],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9974827,"threshold_uncertainty_score":0.1174565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03894776497839796,"score_gpt":0.3505180196596696,"score_spread":0.3115702546812716,"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."}}