{"id":"W2901628248","doi":"10.1016/j.apergo.2018.11.001","title":"Muscular and kinematic adaptations to fatiguing repetitive upper extremity work","year":2018,"lang":"en","type":"article","venue":"Applied Ergonomics","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Physical medicine and rehabilitation; Muscle fatigue; Trunk; Work (physics); Task (project management); Muscular fatigue; Physical therapy; Psychology; Electromyography; Medicine; 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":[0.0002678917,0.0002794117,0.0002433927,0.0002991959,0.0001874657,0.0002103056,0.0001677989,0.0002786132,0.002185581],"category_scores_gemma":[0.001203142,0.0002389959,0.0002297957,0.0002248985,0.0002423333,0.0001699703,0.0004203552,0.0002471468,0.0002310181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009646121,"about_ca_system_score_gemma":0.0001147247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001634057,"about_ca_topic_score_gemma":0.001939112,"domain_scores_codex":[0.9998696,0.00002886453,0.00001080511,0.00002494403,0.00002064345,0.00004513629],"domain_scores_gemma":[0.9997323,0.00008169293,0.0000656401,0.00002943594,0.00004082004,0.00004999945],"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":[0.01285901,0.001556495,0.1379237,0.0003866864,0.0003300855,0.0009586973,0.001028646,0.002318237,0.7856215,0.0001394331,0.0003463373,0.05653124],"study_design_scores_gemma":[0.0000206686,0.001361424,0.9952561,0.00001167369,0.0000208977,0.0002263189,0.0001543206,0.0003354677,0.002424188,0.00003499786,0.0001497964,0.000004051014],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993187,0.00009277023,0.0001894712,0.00001252436,0.000005513761,0.00001108717,0.00005540709,0.000004140484,0.0003103337],"genre_scores_gemma":[0.9988691,0.0001009228,0.0001546108,0.00001990439,0.00001236797,0.00002751968,0.0001121959,0.00000379302,0.0006994139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002185581,"threshold_uncertainty_score":0.007311523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297441539150576,"score_gpt":0.2606049610709691,"score_spread":0.2476305456794634,"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."}}