{"id":"W2022919483","doi":"10.1115/1.2737432","title":"Determining Fall Direction and Impact Location for Various Disturbances and Gait Speeds Using the Articulated Total Body Model","year":2006,"lang":"en","type":"article","venue":"Journal of Biomechanical Engineering","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Standard deviation; Gait; Simulation; Sensitivity (control systems); Slip (aerodynamics); Torque; Geodesy; Mechanics; Mathematics; Physical medicine and rehabilitation; Computer science; Physics; Geology; Statistics; Engineering; Aerospace engineering; 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":[0.0003362084,0.0005500842,0.0005447172,0.0004243305,0.0002814888,0.0004053699,0.0005668908,0.0006086276,0.0009245433],"category_scores_gemma":[0.001429035,0.0003440334,0.0005241505,0.0003897233,0.0003378514,0.0003345993,0.0003973262,0.0003045291,0.0002346812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003637253,"about_ca_system_score_gemma":0.0006532983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0156968,"about_ca_topic_score_gemma":0.01274233,"domain_scores_codex":[0.9998562,0.00003206713,0.0000133673,0.00003221149,0.00004600853,0.00002012663],"domain_scores_gemma":[0.9996222,0.0001466446,0.00006777813,0.00004321453,0.00009228732,0.00002785896],"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":[0.0000944083,0.00003783034,0.004238382,0.00003140598,0.00001153194,0.00005061734,0.00003978104,0.9874527,0.004327258,0.0001942731,0.00007987365,0.003441936],"study_design_scores_gemma":[0.00001421512,0.00005015078,0.002118174,0.000004912048,0.000006875459,0.00001598098,0.00001736851,0.9967439,0.0007885385,0.0001552236,0.00007641519,0.000008146112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.85253,0.00006145681,0.144295,0.00006247624,0.00001499678,0.00008101018,0.0006200991,0.0004024185,0.001932585],"genre_scores_gemma":[0.9880916,0.00004690156,0.01112589,0.000008178931,0.000001367256,0.0000645832,0.0002791521,0.00001723973,0.0003651976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0156968,"threshold_uncertainty_score":0.03121084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928803988960788,"score_gpt":0.3236943062254841,"score_spread":0.3044062663358762,"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."}}