{"id":"W2000454380","doi":"10.1016/s1050-6411(00)00038-9","title":"Artificial neural network model for the generation of muscle activation patterns for human locomotion","year":2001,"lang":"en","type":"article","venue":"Journal of Electromyography and Kinesiology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Gait; Computer science; Cadence; Artificial neural network; Motor control; Physical medicine and rehabilitation; Trunk; Artificial intelligence; Neuroscience; Psychology; Medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003885938,0.0003597414,0.000406753,0.0002661605,0.0002541603,0.000374576,0.0006301405,0.001205814,0.003326245],"category_scores_gemma":[0.001379774,0.0002683249,0.0003711018,0.0003757501,0.000260281,0.0004065291,0.0002214616,0.0006477257,0.0003635745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004934203,"about_ca_system_score_gemma":0.0004948466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01180629,"about_ca_topic_score_gemma":0.008083978,"domain_scores_codex":[0.9999321,0.0000253079,0.00000462906,0.00001589611,0.00001347999,0.000008620745],"domain_scores_gemma":[0.999708,0.0001905402,0.00001907594,0.000007599209,0.00006349393,0.00001120632],"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":[0.00001810541,0.000009878262,0.000128571,0.00001879735,0.00001165852,0.00002408261,0.00001014209,0.9919504,0.000422769,0.001070716,0.0002268307,0.006108053],"study_design_scores_gemma":[0.000001324397,0.000002601018,0.00004091506,9.29381e-7,0.000001229295,0.000002362698,6.684346e-7,0.9996828,0.00002534777,0.0002087881,0.00003233945,7.557789e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1160045,0.001424422,0.8713834,0.000725764,0.0002666427,0.0000856466,0.0002793539,0.0004545311,0.009375778],"genre_scores_gemma":[0.9524069,0.0004244073,0.03686383,0.00007348631,0.00005590966,0.0001980913,0.000162029,0.00004268991,0.009772755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01180629,"threshold_uncertainty_score":0.02347511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04364677842709563,"score_gpt":0.2606687473480564,"score_spread":0.2170219689209608,"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."}}