{"id":"W1894031863","doi":"10.1002/nau.22743","title":"Differences in pelvic floor morphology between continent, stress urinary incontinent, and mixed urinary incontinent elderly women: An MRI study","year":2015,"lang":"en","type":"article","venue":"Neurourology and Urodynamics","topic":"Pelvic floor disorders treatments","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; McGill University; Centre Hospitalier de l’Université de Montréal; Hôpital Maisonneuve-Rosemont; University of Saskatchewan; Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Medicine; Pelvic floor; Urinary incontinence; Neck of urinary bladder; Urology; Magnetic resonance imaging; Stress incontinence; Urinary bladder; Surgery; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003217527,0.000285766,0.0003462987,0.0006725076,0.0003251087,0.0003883626,0.0001840471,0.0003384755,0.001016149],"category_scores_gemma":[0.001123484,0.0002472878,0.0002726798,0.0003864745,0.0002166603,0.0003379337,0.0003836401,0.000178736,0.0001917541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001193666,"about_ca_system_score_gemma":0.0001305609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001848725,"about_ca_topic_score_gemma":0.002841726,"domain_scores_codex":[0.9998626,0.00002658985,0.00002024876,0.00003469929,0.00002378172,0.00003205917],"domain_scores_gemma":[0.999606,0.00004809361,0.0001601047,0.00002766962,0.00004471179,0.0001134506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002409933,0.00006760239,0.9975527,0.0000113267,0.00003708696,0.0001595091,0.000242093,0.000006069137,0.0006513022,0.000004490319,0.00002198185,0.001004831],"study_design_scores_gemma":[0.000005039998,0.0002386339,0.9990049,0.000002409079,0.00001277152,0.0003088685,0.0003420151,0.00001637744,0.00002490747,0.000003315015,0.00003927624,0.000001396035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998198,0.00005789918,0.00001114069,0.000003749812,0.000001337227,0.000003125353,0.00003369048,4.14035e-7,0.00006883341],"genre_scores_gemma":[0.9997624,0.00005102084,0.0000325904,0.00001235045,0.000004999607,0.000005128948,0.00007036956,4.215818e-7,0.00006073981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001848725,"threshold_uncertainty_score":0.003675878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240165408112838,"score_gpt":0.2695607725183574,"score_spread":0.247159118437229,"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."}}