{"id":"W2913767306","doi":"10.1016/j.gaitpost.2019.01.033","title":"Characterizing slip-like responses during gait using an entire support surface perturbation: Comparisons to previously established slip methods","year":2019,"lang":"en","type":"article","venue":"Gait & Posture","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; Nipissing University; University Health Network; University of Toronto; Toronto Rehabilitation Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Toronto Rehabilitation Institute; Canada Foundation for Innovation; Canadian Frailty Network; Ontario Innovation Trust; Ontario Ministry of Research, Innovation and Science; Heart and Stroke Foundation of Canada","keywords":"Slipping; Slip (aerodynamics); Kinematics; Physical medicine and rehabilitation; Perturbation (astronomy); Geodesy; Gait; Heel; Control theory (sociology); Repeatability; QUIET; Simulation; Geology; Mechanics; Computer science; Mathematics; Physics; Geometry; Medicine; Artificial intelligence; Classical mechanics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002116605,0.0004766519,0.0008111186,0.0002237994,0.001085628,0.0001212975,0.0005120659,0.0005388518,0.0004895144],"category_scores_gemma":[0.0002255596,0.0004607284,0.0001964466,0.0005613361,0.00004009507,0.0009171283,0.0003013877,0.001160678,0.0005032651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003322581,"about_ca_system_score_gemma":0.0004240874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001699285,"about_ca_topic_score_gemma":0.0001050976,"domain_scores_codex":[0.9942409,0.002199468,0.0009811278,0.0009222575,0.0004785639,0.00117768],"domain_scores_gemma":[0.9971772,0.0003960941,0.0005564671,0.001028032,0.00037658,0.0004656511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008673054,0.0004878805,0.1467866,0.0008375879,0.000103249,0.00001979913,0.01609937,0.00002309638,0.8280594,0.0001445277,0.005459038,0.001112062],"study_design_scores_gemma":[0.001591791,0.0002442072,0.9455718,0.0007794611,0.0001191689,0.00003040737,0.004442005,0.0006739788,0.0003863616,0.00005034326,0.04544978,0.0006606721],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899972,0.0003401365,0.0008906085,0.001063782,0.002907576,0.002303353,0.0000944695,0.0003771723,0.002025708],"genre_scores_gemma":[0.9468422,0.00006276991,0.02462935,0.00287776,0.0007434947,0.00007466318,0.0004227174,0.0001305606,0.02421649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8276731,"threshold_uncertainty_score":0.9997845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05088738180209731,"score_gpt":0.4017819356086986,"score_spread":0.3508945538066013,"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."}}