{"id":"W3017015591","doi":"10.1096/fasebj.2020.34.s1.05209","title":"Dynamic contraction dependence on the instantaneous motor unit firing rates","year":2020,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Electric Power Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Isometric exercise; Motor unit; Electromyography; Motor unit recruitment; Isotonic; Torque; Muscle contraction; Contraction (grammar); Mathematics; Anatomy; Physics; Physical medicine and rehabilitation; Medicine; Physical therapy; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002266384,0.0001023407,0.0001037046,0.00002164489,0.0002247117,0.0001120803,0.0002467241,0.00003189672,0.00006441399],"category_scores_gemma":[0.00005877468,0.00005548114,0.00005513596,0.0001091739,0.00001326996,0.00007565545,0.000008398406,0.0005698486,0.00007405801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005567629,"about_ca_system_score_gemma":0.00002281418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006771916,"about_ca_topic_score_gemma":0.00001445051,"domain_scores_codex":[0.9993261,0.00006658597,0.000168975,0.00006232135,0.0001792167,0.0001968356],"domain_scores_gemma":[0.9995361,0.0001998932,0.00005522374,0.000109586,0.00002600081,0.00007322166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000222836,0.0000204471,0.0002179638,0.00002625556,0.0003181994,0.000426884,0.001263762,0.03123594,0.931689,0.001396514,0.001382919,0.03179929],"study_design_scores_gemma":[0.000906611,0.0003657746,0.001278532,0.0001305969,0.00007204695,0.002030038,0.000653855,0.9551134,0.03515147,0.0003805207,0.003596331,0.0003207838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812447,0.001913799,0.01101563,0.002571267,0.0006018571,0.0002080637,0.000006254646,0.0001167635,0.002321646],"genre_scores_gemma":[0.9991227,0.0001406581,0.000006681471,0.0004026407,0.0001931006,0.000005082494,2.958002e-7,0.00001659135,0.0001122128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9238775,"threshold_uncertainty_score":0.247574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203326339540422,"score_gpt":0.2070987431808309,"score_spread":0.1950654797854267,"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."}}