{"id":"W2095541630","doi":"10.1016/j.piutam.2011.04.015","title":"Forward dynamic human gait simulation using a SLIP target model","year":2011,"lang":"en","type":"article","venue":"Procedia IUTAM","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gait; Slip (aerodynamics); Computer science; Physical medicine and rehabilitation; Simulation; 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":[0.0002231696,0.0004206071,0.0005254936,0.0004999602,0.0003796101,0.0004749109,0.0006007362,0.001456003,0.00553406],"category_scores_gemma":[0.0006698712,0.0004309248,0.0005661487,0.0004356752,0.0003284418,0.0004077334,0.0004526035,0.0004073334,0.0007290985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003003098,"about_ca_system_score_gemma":0.0004671595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01579197,"about_ca_topic_score_gemma":0.008768083,"domain_scores_codex":[0.999909,0.0000315854,0.000005674174,0.00001164895,0.00002733103,0.00001468807],"domain_scores_gemma":[0.9997622,0.0001143848,0.00001945572,0.00002664135,0.0000569292,0.00002038047],"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":[0.00006308564,0.00002964591,0.0002943273,0.00002898519,0.00001423309,0.0001171308,0.00003838168,0.9948097,0.0009123824,0.001200092,0.0002468759,0.002245124],"study_design_scores_gemma":[0.000009709985,0.00002122796,0.0001350196,0.000002750333,0.000002647589,0.000008902705,0.000007835456,0.99932,0.0001882717,0.0001553355,0.0001460401,0.000002287823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.657649,0.000253969,0.2855079,0.0004852474,0.0001597859,0.0002339647,0.001461841,0.001225653,0.05302262],"genre_scores_gemma":[0.9815472,0.0001193161,0.01280325,0.00003633931,0.00001231882,0.00008662337,0.0003019237,0.00006106223,0.005032031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01579197,"threshold_uncertainty_score":0.03140014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03297659547761536,"score_gpt":0.2525631605969814,"score_spread":0.2195865651193661,"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."}}