{"id":"W4391177776","doi":"10.1016/j.gaitpost.2024.01.025","title":"A comparison of minimum segment models for the estimation of centre of mass position and velocity for slip recovery during a bathtub transfer task","year":2024,"lang":"en","type":"article","venue":"Gait & Posture","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto; Toronto Rehabilitation Institute","funders":"Canadian Institutes of Health Research; Ministry of Colleges and Universities","keywords":"Bathtub; Kinematics; Mean squared error; Simulation; Displacement (psychology); Mathematics; Impulse (physics); Motion capture; Geodesy; Statistics; Control theory (sociology); Computer science; Motion (physics); Geology; Physics; Artificial intelligence; Materials science; Psychology","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":[0.001783025,0.0008521163,0.001069093,0.000815961,0.0004458606,0.001016429,0.000970608,0.001463778,0.001418661],"category_scores_gemma":[0.005432317,0.000523956,0.001246405,0.0006587583,0.0001907624,0.0007740296,0.0004896333,0.001051599,0.0008587194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004964418,"about_ca_system_score_gemma":0.001100974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02790569,"about_ca_topic_score_gemma":0.01674054,"domain_scores_codex":[0.9995472,0.0001783094,0.00003572904,0.0001110317,0.00006744723,0.00006023991],"domain_scores_gemma":[0.9973859,0.001941508,0.0001117226,0.0001114324,0.0003871989,0.00006212157],"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":[0.003868949,0.0005193315,0.01383258,0.0003146472,0.0005103661,0.0001063621,0.0003688944,0.7274314,0.009101753,0.000852465,0.001551437,0.2415418],"study_design_scores_gemma":[0.00001529303,0.0001649272,0.005664197,0.00001543878,0.00003945439,0.00001754345,0.00003309828,0.9930269,0.0006272104,0.0002397998,0.0001415076,0.00001477673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.461636,0.001317888,0.5329181,0.0003201679,0.0001485437,0.0001088539,0.0007179208,0.001354394,0.001478112],"genre_scores_gemma":[0.9583592,0.0003953682,0.03796475,0.0000500716,0.00002982818,0.0001162571,0.001424899,0.0001364515,0.001523264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02790569,"threshold_uncertainty_score":0.05548656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02663261582649595,"score_gpt":0.3452801097793112,"score_spread":0.3186474939528152,"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."}}