{"id":"W3183825236","doi":"10.29173/mocs174","title":"An Evaluation Method of Assessing the Low Back Muscle Fatigue in Manual Material Handling","year":2015,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Glenrose Rehabilitation Hospital; University of Alberta","funders":"","keywords":"Electromyography; Low back pain; Muscle fatigue; Physical medicine and rehabilitation; Trunk; Work (physics); Physical therapy; Task (project management); Kinematics; Back pain; Back injury; Back muscles; Rehabilitation; Medicine; Psychology; Engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.002489991,0.0008105615,0.0005272859,0.002413602,0.0004161589,0.0005040973,0.0005191138,0.0009139808,0.003717756],"category_scores_gemma":[0.003231663,0.0003171506,0.0004422551,0.001204303,0.0003284956,0.0006746414,0.0005947117,0.0004555844,0.001110587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002334753,"about_ca_system_score_gemma":0.0004224219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001060261,"about_ca_topic_score_gemma":0.002363302,"domain_scores_codex":[0.9981766,0.0003726869,0.0001667307,0.0003159583,0.0008765555,0.00009151617],"domain_scores_gemma":[0.9975743,0.0006182116,0.000229041,0.0001019415,0.001388633,0.00008790405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001352426,0.0004583888,0.06385353,0.00201713,0.0002202129,0.0004052897,0.00112758,0.001062175,0.4479352,0.0009653554,0.003343505,0.4772592],"study_design_scores_gemma":[0.0003395111,0.009175215,0.7172029,0.0006561315,0.0006149705,0.005396741,0.002184594,0.04547504,0.1914471,0.001525941,0.02548712,0.0004947085],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4635799,0.003578006,0.5080634,0.0002611942,0.0006353172,0.00427944,0.002195414,0.001269791,0.0161376],"genre_scores_gemma":[0.5280597,0.002090323,0.4522024,0.0002453906,0.0001325617,0.004662359,0.0008779298,0.0001156983,0.01161374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003717756,"threshold_uncertainty_score":0.01316851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03504886339616046,"score_gpt":0.351688015918392,"score_spread":0.3166391525222316,"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."}}