{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005327077,0.0002491403,0.0003155552,0.0001194887,0.0005718226,0.00002991315,0.0002258795,0.0002197197,0.0001901737],"category_scores_gemma":[0.0002804126,0.0002517515,0.0001058994,0.0002556407,0.00002566752,0.0004938731,0.0001598042,0.0008759198,0.0008981797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001496165,"about_ca_system_score_gemma":0.00006967077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001903353,"about_ca_topic_score_gemma":0.0000368528,"domain_scores_codex":[0.9972739,0.000555918,0.0005594914,0.000571015,0.0003270695,0.0007126438],"domain_scores_gemma":[0.9983789,0.0004944,0.0003921313,0.0005086935,0.00009435199,0.0001314776],"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":[0.00009569959,0.000162407,0.02771869,0.0007141061,0.0000163406,0.00001006846,0.0005682061,9.811266e-7,0.9335013,0.0002838502,0.02757451,0.009353872],"study_design_scores_gemma":[0.003000109,0.0001034031,0.9563735,0.0006822508,0.00002664571,0.000005439117,0.0009586631,0.00124857,0.0007423679,0.00006055364,0.03640291,0.0003955952],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693907,0.00005741187,0.0006325237,0.0007678833,0.0008635667,0.0009615601,0.00002928533,0.0003056302,0.02699141],"genre_scores_gemma":[0.9731656,0.00004368194,0.0006621793,0.001728172,0.0004593834,0.00006024504,0.0001274517,0.00008176524,0.02367151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9327589,"threshold_uncertainty_score":0.9999934,"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."}}