{"id":"W4413925488","doi":"10.1109/tnsre.2025.3605096","title":"Assessment of Gait Pattern Changes in Lower Limb Amputees Using Inertial Sensor Signals: An Alternative to Gait Parameter Measurement","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; McMaster University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Gait; Inertial measurement unit; Inertial frame of reference; Physical medicine and rehabilitation; Gait analysis; Effect of gait parameters on energetic cost; Computer science; Computer vision; Medicine; Physics","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":[0.000412438,0.000489987,0.0004502959,0.0009405324,0.00009674669,0.0003866332,0.0002173916,0.0004097114,0.0007037397],"category_scores_gemma":[0.002034736,0.0001443989,0.0001716542,0.0007878045,0.0002435315,0.0005650152,0.0002913698,0.0001980091,0.0002087481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009595517,"about_ca_system_score_gemma":0.0001189124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005695769,"about_ca_topic_score_gemma":0.001230318,"domain_scores_codex":[0.9996564,0.0001234306,0.00003742367,0.00005452137,0.0001113849,0.00001672423],"domain_scores_gemma":[0.9994808,0.0002126659,0.0001181905,0.00005103231,0.0001120582,0.00002518762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001391656,0.0004668541,0.08679851,0.0009235582,0.000192661,0.0003277124,0.0004366632,0.005329328,0.2830667,0.0004481442,0.000520408,0.6200978],"study_design_scores_gemma":[0.0001907073,0.006880847,0.7277527,0.0002651533,0.0004113263,0.003383591,0.001227018,0.1488455,0.1053627,0.002497085,0.002970839,0.0002124456],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8941442,0.001568144,0.102106,0.0001636928,0.00006748877,0.0001439169,0.0002745509,0.0001951499,0.001336761],"genre_scores_gemma":[0.9674408,0.0007344541,0.03110388,0.00006635825,0.00004359848,0.00006743836,0.0001016899,0.00001226528,0.0004294925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009405324,"threshold_uncertainty_score":0.002354264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01977604259132408,"score_gpt":0.2627435969644537,"score_spread":0.2429675543731296,"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."}}