{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001379757,0.00009406789,0.00008256179,0.0001056394,0.0001527822,0.00002190201,0.00003641355,0.00004586731,0.00001382263],"category_scores_gemma":[0.00007696625,0.00009901098,0.00004335777,0.0001914263,0.00002161802,0.0002138322,0.000005045074,0.0000464158,0.000004342875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004898516,"about_ca_system_score_gemma":0.000004528378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006929752,"about_ca_topic_score_gemma":0.000004125759,"domain_scores_codex":[0.9994316,0.00001423503,0.0001370832,0.0001251346,0.000120374,0.000171618],"domain_scores_gemma":[0.9996482,0.00005971094,0.00003287572,0.0001066772,0.0001282324,0.0000243067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001230798,0.00001175864,0.00001364697,0.0000411905,0.00003638317,2.796231e-8,0.000798933,0.4305031,0.03315639,0.001039408,0.0008181434,0.5335687],"study_design_scores_gemma":[0.0002314008,0.00006509414,0.003381643,0.00001516459,0.00001010486,2.76619e-7,0.00008677603,0.9641492,0.02845988,0.003107799,0.0003839256,0.0001087418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6489267,0.000008967575,0.348583,0.00009477716,0.0001474942,0.0002268622,0.000002294349,0.0002813905,0.001728429],"genre_scores_gemma":[0.9864473,0.000006393284,0.01318485,0.0000382722,0.000176303,0.00004691238,0.00001903701,0.00002247935,0.00005840807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5336461,"threshold_uncertainty_score":0.4037551,"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."}}