{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001153953,0.0001164892,0.000303066,0.00008305921,0.00002665735,0.00002568235,0.0002286373,0.0001253443,0.0002688996],"category_scores_gemma":[0.0003262417,0.00008573012,0.0001411115,0.0001691175,0.00002221259,0.0001452534,0.00002376399,0.0003117778,0.0000165102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005747973,"about_ca_system_score_gemma":0.00011845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001332367,"about_ca_topic_score_gemma":6.280951e-7,"domain_scores_codex":[0.9984311,0.00008214522,0.0005701733,0.00008237345,0.0006910216,0.00014315],"domain_scores_gemma":[0.9991233,0.000173073,0.0001523248,0.0000962927,0.0002767293,0.0001782268],"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":[0.000006633793,0.00003001501,0.0000641084,0.0008561494,0.00004664033,0.000009310192,0.00002103709,0.9962422,0.00003054608,0.00002445747,0.0001208259,0.002548077],"study_design_scores_gemma":[0.0002377762,0.0001601945,0.00003667743,0.002843629,0.00008614909,0.000046912,0.00003273488,0.9955773,0.000009719559,0.00002696077,0.000833111,0.000108796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03650105,0.02348778,0.9374591,0.001114417,0.001025731,0.0001809636,8.121455e-7,0.00002572207,0.000204489],"genre_scores_gemma":[0.7975567,0.02061061,0.1803687,0.0009690378,0.0004074623,0.000002486606,0.000003114975,0.00005941109,0.00002243313],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7610556,"threshold_uncertainty_score":0.3495973,"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."}}