{"id":"W2032739975","doi":"10.1002/nau.10156","title":"Development of a dynamometer for measuring the isometric force of the pelvic floor musculature","year":2003,"lang":"en","type":"article","venue":"Neurourology and Urodynamics","topic":"Pelvic floor disorders treatments","field":"Medicine","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"Computer Research Institute of Montréal; Hôpital Maisonneuve-Rosemont; Université de Montréal; Montreal Heart Institute","funders":"Canadian Institutes of Health Research","keywords":"Dynamometer; Repeatability; Isometric exercise; Medicine; Strain gauge; Calibration; Pelvic floor; Pelvic Floor Muscle; Linearity; Hysteresis; Biomedical engineering; Orthodontics; Mechanical engineering; Physical therapy; Surgery; Structural engineering; Mathematics; Statistics; Physics; Electrical engineering; Engineering","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":[0.00296502,0.0006612004,0.000718115,0.000849722,0.0002548482,0.0005784726,0.00128373,0.001232379,0.001616064],"category_scores_gemma":[0.002898025,0.0005278322,0.0005563142,0.0002665983,0.0004727438,0.0007962643,0.0006053515,0.0008247151,0.0009474764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002328495,"about_ca_system_score_gemma":0.001004595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003507137,"about_ca_topic_score_gemma":0.0004681107,"domain_scores_codex":[0.9984688,0.00038895,0.0001597465,0.0002411371,0.0006827259,0.00005856052],"domain_scores_gemma":[0.9978892,0.0009676554,0.0001999217,0.0001887282,0.0006283493,0.0001261269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002944853,0.0004389517,0.01396441,0.001423415,0.000116054,0.0002437449,0.0001547456,0.001584215,0.7479041,0.001534094,0.00110054,0.2312412],"study_design_scores_gemma":[0.000907115,0.01794028,0.1354096,0.0007855775,0.0008867113,0.01358833,0.0002981388,0.07233694,0.6579179,0.001816542,0.09766301,0.0004498767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09714352,0.00392274,0.8907725,0.0005910478,0.0007634468,0.002078663,0.0004719192,0.0009979944,0.003258154],"genre_scores_gemma":[0.1636253,0.002109342,0.8284565,0.0003772317,0.0001886967,0.001809026,0.0004921104,0.00008523375,0.002856493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00296502,"threshold_uncertainty_score":0.01568073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384174029822113,"score_gpt":0.2350389112440579,"score_spread":0.2211971709458368,"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."}}