{"id":"W2904308363","doi":"10.1016/j.jelekin.2018.12.002","title":"Contraction mode and intensity effects on elbow antagonist muscle co-activation","year":2018,"lang":"en","type":"article","venue":"Journal of Electromyography and Kinesiology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph-Humber","funders":"","keywords":"Antagonist; Elbow; Contraction (grammar); Muscle contraction; Medicine; Physical medicine and rehabilitation; Anesthesia; Anatomy; Internal medicine; Receptor","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":[0.001004319,0.0005121634,0.0005675848,0.0003237197,0.0001947951,0.0003507265,0.000406438,0.000442579,0.006829441],"category_scores_gemma":[0.005159833,0.0003333938,0.0003349006,0.0002287107,0.0005552417,0.0005706142,0.0004735335,0.0004368278,0.0004146642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001168438,"about_ca_system_score_gemma":0.0002468807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005585891,"about_ca_topic_score_gemma":0.0006797026,"domain_scores_codex":[0.9995469,0.0001489074,0.00005250811,0.00007001705,0.00007438612,0.0001072586],"domain_scores_gemma":[0.9961407,0.003017357,0.0001609839,0.0001839203,0.0001797532,0.0003172228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.1911134,0.003940863,0.01090624,0.0003358449,0.0001478182,0.0002911399,0.000661756,0.0008135195,0.7520562,0.0003556221,0.0001765332,0.03920111],"study_design_scores_gemma":[0.004163146,0.08761795,0.7286124,0.0001134048,0.0009147504,0.0009064372,0.0007737025,0.006824265,0.1667889,0.001037122,0.002163274,0.00008460615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976803,0.0002411987,0.0006955956,0.00002414602,0.00002044678,0.00006109851,0.00006852647,0.00001168765,0.001196944],"genre_scores_gemma":[0.9960378,0.0002449611,0.000999302,0.00006091978,0.0000614288,0.0001523505,0.0001207329,0.00003548035,0.002286938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006829441,"threshold_uncertainty_score":0.02284676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006946515951615259,"score_gpt":0.2359871591123718,"score_spread":0.2290406431607565,"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."}}