{"id":"W2944055199","doi":"10.1016/j.jbiomech.2019.04.028","title":"An actuated dissipative spring-mass walking model: Predicting human-like ground reaction forces and the effects of model parameters","year":2019,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"State Key Laboratory of Fluid Power and Mechatronic Systems; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Ground reaction force; Dissipative system; Stiffness; Spring (device); Gait; Inverted pendulum; Control theory (sociology); Mechanics; Slip (aerodynamics); Simulation; Computer science; Physics; Structural engineering; Classical mechanics; Engineering; Physical medicine and rehabilitation","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":[0.0004201691,0.0001218436,0.0002765698,0.0001268619,0.00005495989,0.00004180478,0.0001319614,0.0000755303,9.472792e-7],"category_scores_gemma":[0.00003094959,0.00008429572,0.00008852223,0.00009619992,0.0000209533,0.0003603355,0.00001388555,0.0002105278,3.67976e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005874574,"about_ca_system_score_gemma":0.0000128895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000108762,"about_ca_topic_score_gemma":0.000002463808,"domain_scores_codex":[0.9991592,0.00004955353,0.0003548903,0.00008510565,0.0002135086,0.000137748],"domain_scores_gemma":[0.99931,0.0001291844,0.0002829783,0.0001382341,0.000076208,0.00006336144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009940054,0.00003080057,0.00002892021,0.0001520786,0.0002042258,0.00000208953,0.001625909,0.3293454,0.6559759,0.0009346444,0.000003190035,0.01159735],"study_design_scores_gemma":[0.001689026,0.0001953918,0.00003469401,0.0001387511,0.00009269115,0.000007824695,0.0002216333,0.9829019,0.0109759,0.003656303,0.000001119364,0.00008475286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6738305,0.00009357552,0.3256041,0.00001459663,0.0002600328,0.0001494256,7.989456e-7,0.00002318373,0.00002378488],"genre_scores_gemma":[0.997811,0.0001001998,0.002003588,0.0000194217,0.00002686499,0.00000296109,7.155226e-7,0.00002220423,0.00001301636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6535565,"threshold_uncertainty_score":0.343748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0079236136406751,"score_gpt":0.2261384248806292,"score_spread":0.2182148112399541,"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."}}