{"id":"W2043610723","doi":"10.3390/s140202052","title":"Towards Whole Body Fatigue Assessment of Human Movement: A Fatigue-Tracking System Based on Combined sEMG and Accelerometer Signals","year":2014,"lang":"en","type":"article","venue":"Sensors","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Muscular fatigue; Muscle fatigue; Accelerometer; Physical medicine and rehabilitation; Electromyography; Simulation; Computer science; Structural engineering; Medicine; Engineering","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":[0.0005353599,0.000561713,0.0006009497,0.0007813523,0.0001459575,0.000390232,0.0003904987,0.0008201969,0.001232261],"category_scores_gemma":[0.0007255459,0.0002186703,0.0002680452,0.0004993718,0.0001390392,0.000493994,0.0003549327,0.00030498,0.0007806836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001026279,"about_ca_system_score_gemma":0.0002130772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003887785,"about_ca_topic_score_gemma":0.0009350646,"domain_scores_codex":[0.9996842,0.00007370083,0.00002422093,0.00008981524,0.0001143674,0.00001368899],"domain_scores_gemma":[0.9997414,0.00006059765,0.00004193887,0.00002661771,0.0001072135,0.0000222254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005582471,0.0002288481,0.01069536,0.0005585541,0.0001221408,0.0001385184,0.0002338767,0.007035461,0.4752121,0.0006502108,0.001508829,0.503058],"study_design_scores_gemma":[0.0002935834,0.003649755,0.1529661,0.0002599331,0.0004997642,0.002512648,0.0003255857,0.612628,0.2099727,0.002316409,0.01432907,0.000246326],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06822816,0.0005302883,0.9281143,0.0000612669,0.00006334453,0.0001665246,0.0002312815,0.001351262,0.001253615],"genre_scores_gemma":[0.5104625,0.0006830191,0.4846259,0.000120488,0.0001246621,0.0004986326,0.0003625412,0.00006689206,0.003055359],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001232261,"threshold_uncertainty_score":0.004122317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02701827007738874,"score_gpt":0.2764617507476343,"score_spread":0.2494434806702456,"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."}}