{"id":"W2967435322","doi":"10.1016/j.neuroimage.2019.116095","title":"Adjusting gait step-by-step: Brain activation during split-belt treadmill walking","year":2019,"lang":"en","type":"article","venue":"NeuroImage","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Jewish General Hospital; McGill University; Centre for Interdisciplinary Research in Rehabilitation","funders":"Healthy Foods, Healthy Lives Institute, University of Minnesota; Fonds de Recherche en Santé Respiratoire; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Supplementary motor area; Gait; Posterior cingulate; Treadmill; SMA*; Cadence; Motor cortex; Posterior parietal cortex; Physical medicine and rehabilitation; Prefrontal cortex; Preferred walking speed; Anterior cingulate cortex; Psychology; Cortex (anatomy); Neuroscience; Medicine; Computer science; Cognition; Functional magnetic resonance imaging; Physical therapy","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":[0.0001069722,0.0002212668,0.0001478808,0.0001792352,0.00008653595,0.000275038,0.0001115237,0.0002723002,0.00217894],"category_scores_gemma":[0.0008883626,0.000132871,0.00008422681,0.0001505773,0.0001536714,0.0002309927,0.0001785724,0.0002306861,0.0001771982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008938965,"about_ca_system_score_gemma":0.0001809121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001831083,"about_ca_topic_score_gemma":0.004107711,"domain_scores_codex":[0.9999632,0.000005327998,0.000001844094,0.00001193166,0.000006079179,0.00001173793],"domain_scores_gemma":[0.9999236,0.00002643456,0.00001879868,0.000004868673,0.0000107127,0.00001550242],"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":[0.01307913,0.001345622,0.1566512,0.0004178541,0.0004681006,0.001091191,0.001930161,0.002026428,0.7050051,0.0005442489,0.003615937,0.1138251],"study_design_scores_gemma":[0.00007841365,0.0004372649,0.9923719,0.00002238549,0.00006480813,0.0003958663,0.000278659,0.001486572,0.004088403,0.0003442228,0.000420682,0.00001075062],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978887,0.0001053743,0.0007189856,0.00006379309,0.00001517485,0.00004398394,0.0003297015,0.0000161387,0.0008180848],"genre_scores_gemma":[0.9985104,0.00008408299,0.0004277517,0.00004896451,0.0000100832,0.00004177522,0.0002003148,0.000008542442,0.0006681281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00217894,"threshold_uncertainty_score":0.00728929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02165217346105463,"score_gpt":0.3250276446754557,"score_spread":0.3033754712144011,"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."}}