{"id":"W2794498418","doi":"10.3390/s18041004","title":"Evaluating Muscle Activation Models for Elbow Motion Estimation","year":2018,"lang":"en","type":"article","venue":"Sensors","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Universidad Pontificia Bolivariana; Ministero dello Sviluppo Economico","keywords":"Computer science; Wearable computer; Torque; Motion (physics); Simulation; Artificial intelligence","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":[0.001084415,0.000728023,0.000516691,0.0005731286,0.0001844691,0.0005282948,0.0003819034,0.0007077081,0.001069495],"category_scores_gemma":[0.00389637,0.0003305234,0.0005350923,0.0003363308,0.0001955581,0.0005427281,0.0003474973,0.0003847798,0.0003279996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004220679,"about_ca_system_score_gemma":0.0005824171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00799694,"about_ca_topic_score_gemma":0.007317213,"domain_scores_codex":[0.999703,0.000120671,0.00002762336,0.00005428235,0.00006689284,0.00002748855],"domain_scores_gemma":[0.998839,0.0008385681,0.00009951287,0.00006006665,0.0001443837,0.00001849161],"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":[0.000134707,0.00006308217,0.002205316,0.0001240825,0.00005957282,0.00003599408,0.00004472077,0.9456409,0.005825221,0.0005069077,0.0002012242,0.04515826],"study_design_scores_gemma":[0.000006454037,0.0001020937,0.001309055,0.00001464528,0.00001225574,0.00001448436,0.00001748055,0.9957975,0.002275146,0.0002180377,0.0002258541,0.000006954673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4124026,0.0009499844,0.5801369,0.0002921932,0.00003866796,0.000162686,0.0002621222,0.0009094238,0.004845371],"genre_scores_gemma":[0.9523116,0.0002661741,0.04566795,0.00003316093,0.000007815914,0.0001097202,0.0002154292,0.00003773689,0.001350354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00799694,"threshold_uncertainty_score":0.01590079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04996835743390351,"score_gpt":0.3017954350538343,"score_spread":0.2518270776199308,"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."}}