{"id":"W2144266862","doi":"10.1016/j.ultrasmedbio.2015.03.015","title":"Repeatability and Minimal Detectable Change in Longitudinal Median Nerve Excursion Measures During Upper Limb Neurodynamic Techniques in a Mixed Population: A Pilot Study Using Musculoskeletal Ultrasound Imaging","year":2015,"lang":"en","type":"article","venue":"Ultrasound in Medicine & Biology","topic":"Peripheral Nerve Disorders","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Institut de Readaptation Gingras Lindsay de Montreal; Université de Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Excursion; Generalizability theory; Repeatability; Median nerve; Medicine; Ultrasound; Carpal tunnel syndrome; Longitudinal study; Reliability (semiconductor); Nuclear medicine; Standard error; Repeated measures design; Physical medicine and rehabilitation; Physical therapy; Mathematics; Anatomy; Surgery; Radiology; Statistics; Pathology; Physics","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":[0.002026988,0.0003888784,0.0004659836,0.000714142,0.0007007522,0.0007053801,0.0005115199,0.0005603499,0.0009810756],"category_scores_gemma":[0.006166411,0.0003436705,0.0003445873,0.0003804621,0.0005095238,0.0007411537,0.0005151847,0.0003971198,0.0002834412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002280938,"about_ca_system_score_gemma":0.0002515007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003064171,"about_ca_topic_score_gemma":0.004186919,"domain_scores_codex":[0.9983986,0.0006360915,0.0001302611,0.0003788747,0.0003382812,0.0001179453],"domain_scores_gemma":[0.9968538,0.001312142,0.0004600362,0.0003897338,0.0006932733,0.0002910907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001696264,0.001232019,0.970386,0.00002945094,0.0001684976,0.0003447595,0.002555878,0.00007765248,0.01582396,0.00003859906,0.00006914543,0.007577703],"study_design_scores_gemma":[0.00002666473,0.00271704,0.9946998,0.000002944731,0.00005936276,0.0004039976,0.001070643,0.000283383,0.0006097724,0.00001727934,0.0001005841,0.000008512536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994668,0.0000222394,0.0003089636,0.000003844688,0.000003125549,0.00001980516,0.00002552715,0.000003084125,0.0001466208],"genre_scores_gemma":[0.9991131,0.0000147997,0.0004872495,0.00001504699,0.00001010169,0.00004040348,0.00008247364,0.000005283573,0.0002315041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003064171,"threshold_uncertainty_score":0.0107199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05909691329011783,"score_gpt":0.3493557193638596,"score_spread":0.2902588060737418,"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."}}