{"id":"W2756277854","doi":"10.1007/s10439-017-1920-7","title":"Why are Antagonist Muscles Co-activated in My Simulation? A Musculoskeletal Model for Analysing Human Locomotor Tasks","year":2017,"lang":"en","type":"article","venue":"Annals of Biomedical Engineering","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":241,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health","keywords":"Antagonist; Physical medicine and rehabilitation; Computer science; Psychology; Simulation; Medicine; Receptor; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002156225,0.0003130196,0.000315124,0.0001586243,0.0001939979,0.0006258893,0.0004775185,0.001384635,0.002522697],"category_scores_gemma":[0.0009249471,0.0002890024,0.0003874637,0.0001694697,0.0003922616,0.0006011018,0.0003774063,0.000375852,0.0006561802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001224823,"about_ca_system_score_gemma":0.0002801453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001783315,"about_ca_topic_score_gemma":0.001494654,"domain_scores_codex":[0.9999113,0.00003083142,0.000006118944,0.00002273446,0.00001429444,0.00001476772],"domain_scores_gemma":[0.9998626,0.00007341,0.00001285249,0.00001640495,0.00001944858,0.00001533414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005913042,0.0001867823,0.005897367,0.0003044644,0.0001222837,0.0007454376,0.000751631,0.8309534,0.116189,0.01139974,0.001671534,0.03118715],"study_design_scores_gemma":[0.00004941542,0.0002519894,0.004235656,0.00003928305,0.00004193648,0.0004062048,0.0001704059,0.9839923,0.0037152,0.004819197,0.002255469,0.00002300513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4877587,0.0003152992,0.4972808,0.001295385,0.0001286509,0.0001358049,0.000450804,0.0003909752,0.01224364],"genre_scores_gemma":[0.9750631,0.0001946696,0.02127716,0.00009668698,0.00001949784,0.0001041034,0.00009949772,0.00004841627,0.003096896],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002522697,"threshold_uncertainty_score":0.008439302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04640314474509599,"score_gpt":0.3417569865644951,"score_spread":0.2953538418193991,"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."}}