{"id":"W2121548290","doi":"10.1016/j.jbiomech.2009.03.014","title":"Trunk response analysis under sudden forward perturbations using a kinematics-driven model","year":2009,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Trunk; Control theory (sociology); Physics; Mechanics; Computer science; Classical mechanics; Artificial intelligence; Biology","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":[0.0001328709,0.0003608782,0.0004212491,0.0002729885,0.0002406098,0.0002432994,0.000279093,0.0005242302,0.001337242],"category_scores_gemma":[0.0004450572,0.0002080893,0.0003500391,0.0001358902,0.0002355903,0.0001911461,0.0002676747,0.000220992,0.0002250069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002018338,"about_ca_system_score_gemma":0.0002857674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006172826,"about_ca_topic_score_gemma":0.004209589,"domain_scores_codex":[0.9999421,0.00001425884,0.000002232143,0.000008784349,0.00001870115,0.00001393024],"domain_scores_gemma":[0.9998628,0.00006862309,0.00001831306,0.00001023692,0.00003119842,0.00000874307],"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":[0.0001773234,0.00003010586,0.0008246517,0.00006062349,0.00002747624,0.000239849,0.00006664325,0.9603074,0.03135975,0.001131366,0.0002013064,0.005573522],"study_design_scores_gemma":[0.000003781394,0.00002991302,0.0007637767,0.000001683979,0.000004485329,0.00001513725,0.00001241576,0.998076,0.0009258463,0.0001154787,0.00004895394,0.000002626238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.71096,0.000140436,0.2816296,0.0001445785,0.00002635079,0.00005968815,0.0001538178,0.0004007872,0.006484739],"genre_scores_gemma":[0.9974257,0.00003567558,0.001400466,0.000005577461,0.000003049419,0.00001178428,0.00003188255,0.0000116533,0.001074124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006172826,"threshold_uncertainty_score":0.01227379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348385193895127,"score_gpt":0.2394587690637658,"score_spread":0.2259749171248145,"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."}}