{"id":"W2972778642","doi":"10.1115/1.4044739","title":"Lower Limb Assistive Device Design Optimization Using Musculoskeletal Modeling:A Review","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Devices","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; University Health Network; Toronto Rehabilitation Institute; University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Exoskeleton; Computer science; Gait; Physical medicine and rehabilitation; Simulation; Human–computer interaction; Medicine","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":[0.001020935,0.001173672,0.00122056,0.001638419,0.0001872735,0.001167469,0.001281262,0.001207232,0.002693839],"category_scores_gemma":[0.002347534,0.0006868656,0.001169711,0.001691959,0.0003954208,0.0009456646,0.0005866292,0.0005895978,0.001000552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002844762,"about_ca_system_score_gemma":0.0008273791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001250155,"about_ca_topic_score_gemma":0.0009272405,"domain_scores_codex":[0.9996044,0.00006990098,0.00007010406,0.00009956919,0.0001377951,0.00001837324],"domain_scores_gemma":[0.9983827,0.001181734,0.0001328515,0.00004237649,0.0002340452,0.00002637223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007284592,0.0001379698,0.0007131202,0.03095584,0.0003274116,0.0001398006,0.00009035112,0.01871095,0.001968843,0.005181298,0.006534791,0.9351668],"study_design_scores_gemma":[0.00008785975,0.001022612,0.005681983,0.03510464,0.001928694,0.003297403,0.0003826286,0.05729446,0.007683461,0.01657968,0.8706661,0.0002705174],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001530771,0.9868047,0.009697071,0.0001837468,0.0001074295,0.0000175791,0.00004347954,0.00004505395,0.001570173],"genre_scores_gemma":[0.01485352,0.9758252,0.008067103,0.0001362636,0.0002056677,0.00003131728,0.00009749579,0.00002195065,0.000761487],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002693839,"threshold_uncertainty_score":0.009011745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02440054104802808,"score_gpt":0.2942612138077714,"score_spread":0.2698606727597433,"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."}}