{"id":"W4384214224","doi":"10.1016/j.cont.2023.100994","title":"ASSESSMENT OF PELVIC FLOOR MUSCLE STIFFNESS IN WOMEN USING SHEAR WAVE ELASTOGRAPHY: AN INTRA- AND INTER-RATER RELIABILITY STUDY.","year":2023,"lang":"en","type":"article","venue":"Continence","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Muscle stiffness; Elastography; Stiffness; Pelvic floor; Inter-rater reliability; Shear (geology); Reliability (semiconductor); Pelvic Floor Muscle; Ultrasound elastography; Medicine; Materials science; Geology; Ultrasound; Anatomy; Radiology; Composite material; Mathematics; Physics; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.007893074,0.0004304342,0.0004968098,0.0007520223,0.0003521884,0.0005068079,0.0003621384,0.0005352244,0.0006731841],"category_scores_gemma":[0.01900811,0.0003618045,0.0005426682,0.0004904192,0.0005884274,0.0006057699,0.0006448993,0.0003703388,0.000390071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001709668,"about_ca_system_score_gemma":0.0002058331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008372387,"about_ca_topic_score_gemma":0.001781761,"domain_scores_codex":[0.995374,0.002205289,0.0006368106,0.0007685644,0.0008620578,0.0001532458],"domain_scores_gemma":[0.9818314,0.0091368,0.002702565,0.002232125,0.003786802,0.0003103811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001787614,0.0001532421,0.9648615,0.0001439506,0.0005702998,0.0001006747,0.002205887,0.0002937682,0.008071862,0.00009239173,0.0002681671,0.02145072],"study_design_scores_gemma":[0.00005354753,0.001087218,0.9938478,0.00003247976,0.0001672134,0.0003948454,0.0006263962,0.001367262,0.00165835,0.00006296168,0.0006778502,0.00002411018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944405,0.000689477,0.003342772,0.00002961383,0.00005315986,0.0001110654,0.0002258675,0.00002833563,0.001079212],"genre_scores_gemma":[0.9974726,0.0001485732,0.001770987,0.0000250779,0.00002529506,0.00006528987,0.0001645905,0.00001436477,0.0003131676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007893074,"threshold_uncertainty_score":0.04174304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0233884379065869,"score_gpt":0.2691045980437813,"score_spread":0.2457161601371944,"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."}}