{"id":"W2098891571","doi":"10.1016/j.jelekin.2015.04.005","title":"Fatigue accumulation and twitch potentiation during complex MVC-relative profiles","year":2015,"lang":"en","type":"article","venue":"Journal of Electromyography and Kinesiology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Long-term potentiation; Isometric exercise; Task (project management); Muscle fatigue; Intensity (physics); Affect (linguistics); Physical medicine and rehabilitation; Psychology; Medicine; Cardiology; Chemistry; Internal medicine; Physics; Electromyography; Communication; 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":[0.0002893597,0.0002281658,0.0002026509,0.0003971457,0.0001635806,0.0002366206,0.0001360243,0.0002398659,0.002676252],"category_scores_gemma":[0.002509362,0.0001094708,0.0001331078,0.0002598488,0.0001516822,0.0002204457,0.0002806412,0.0002145041,0.0003301486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000914448,"about_ca_system_score_gemma":0.0001139411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001365696,"about_ca_topic_score_gemma":0.001751265,"domain_scores_codex":[0.99989,0.0000238691,0.00001234815,0.00001992245,0.00003256685,0.00002133461],"domain_scores_gemma":[0.9994192,0.0002869856,0.00009249085,0.00004242013,0.00009643545,0.00006257706],"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":[0.01338754,0.0002572908,0.04520059,0.0003836105,0.0002057282,0.0008154168,0.0007533114,0.001688129,0.8480272,0.000571196,0.0003964058,0.08831356],"study_design_scores_gemma":[0.00004849362,0.00196638,0.9538564,0.00008765882,0.0001071599,0.001499782,0.0002206176,0.005825659,0.03505367,0.0002366028,0.001081301,0.00001643764],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957717,0.0004485359,0.002398875,0.00001202906,0.000009686873,0.00005099789,0.0001838234,0.00001597761,0.001108323],"genre_scores_gemma":[0.998903,0.0001244467,0.0003405861,0.000007911936,0.000009441701,0.000022748,0.0001148135,0.000008201574,0.0004689865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002676252,"threshold_uncertainty_score":0.008952916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04776427762650406,"score_gpt":0.2704890270622672,"score_spread":0.2227247494357632,"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."}}