{"id":"W2011517123","doi":"10.1139/y03-114","title":"Coexistence of potentiation and low-frequency fatigue during voluntary exercise in human skeletal muscle","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Physiology and Pharmacology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Isometric exercise; Internal medicine; Long-term potentiation; Skeletal muscle; Muscle contraction; Muscle fatigue; Contraction (grammar); Turnover; Medicine; Cardiology; Endocrinology; Chemistry; Electromyography; Physical medicine and rehabilitation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0000769486,0.00007517343,0.0001857731,0.0002469295,0.00007183881,0.000002340923,0.00004559417,0.00005509008,0.0001357844],"category_scores_gemma":[0.000007120633,0.00007856779,0.00002673899,0.0001106599,0.0001221509,0.00009531625,0.000003098253,0.0001641642,6.066853e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002505992,"about_ca_system_score_gemma":0.00004166987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000246157,"about_ca_topic_score_gemma":0.0005754254,"domain_scores_codex":[0.9994835,0.00004789036,0.000207878,0.00006776978,0.00002340755,0.0001695292],"domain_scores_gemma":[0.9997348,0.00002278669,0.00006569179,0.00003032388,0.00004097464,0.0001053935],"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":[0.000004599413,0.00000940584,0.006963333,0.0001600338,0.00004892543,0.00001585062,0.0004545081,0.0003970098,0.9910243,0.0001534913,0.0001129192,0.0006556622],"study_design_scores_gemma":[0.000968828,0.00008972547,0.8893836,0.00005751062,0.00003671337,0.00003306931,0.0001330613,0.00009329702,0.1076124,0.001373919,0.00009252017,0.0001254161],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976851,0.001874684,0.0000104443,0.00003706889,0.0002007708,0.0000527439,0.000003237962,0.000003210332,0.0001327293],"genre_scores_gemma":[0.9993749,0.000518709,0.00003730133,0.0000313186,0.00002486882,0.000002586945,0.000001337298,0.000005427039,0.000003502594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8834119,"threshold_uncertainty_score":0.3203901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042060054902525,"score_gpt":0.2341335149531144,"score_spread":0.2237129144040892,"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."}}