{"id":"W4315928850","doi":"10.1080/00140139.2023.2168769","title":"Effects of trunk extensor muscle fatigue on repetitive lift (re)training using an augmented tactile feedback approach","year":2023,"lang":"en","type":"article","venue":"Ergonomics","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trunk; Physical medicine and rehabilitation; Lumbar; Pelvis; Lift (data mining); Lumbar spine; Torso; Range of motion; Physical therapy; Medicine; Computer science; Anatomy; Surgery","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":[0.0006252716,0.0003006132,0.0002904429,0.0001633351,0.0001258441,0.0001563284,0.0002923885,0.0004575147,0.002632791],"category_scores_gemma":[0.001748343,0.0001058382,0.0002098553,0.00006746031,0.0002080524,0.0002216293,0.0002821656,0.0003772927,0.0001579407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008723806,"about_ca_system_score_gemma":0.000183955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006591945,"about_ca_topic_score_gemma":0.001224383,"domain_scores_codex":[0.9997424,0.00009722175,0.00002585576,0.00003256776,0.00007155092,0.00003044218],"domain_scores_gemma":[0.999135,0.000499131,0.0001316369,0.00004919816,0.0001188092,0.00006621087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02353421,0.01361893,0.01101395,0.002770785,0.0002682851,0.0004628833,0.001400393,0.002212491,0.6492723,0.0001287651,0.0006270309,0.29469],"study_design_scores_gemma":[0.002788316,0.4618753,0.3196641,0.0006390687,0.0007306499,0.001996893,0.001488292,0.01660581,0.1874652,0.0003811209,0.006260984,0.0001042121],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980173,0.0001954938,0.001308005,0.00006110153,0.00001805459,0.00006841005,0.00002136294,0.00001509918,0.0002950455],"genre_scores_gemma":[0.9939945,0.0002317341,0.004773048,0.00009497115,0.00002470741,0.0001702022,0.00003333753,0.000004033371,0.0006733895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002632791,"threshold_uncertainty_score":0.0088076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05477968119417587,"score_gpt":0.3123480315389917,"score_spread":0.2575683503448158,"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."}}