{"id":"W4396553539","doi":"10.2196/50035","title":"Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; NIHR Newcastle Biomedical Research Centre; Wellcome Trust; Newcastle upon Tyne Hospitals NHS Foundation Trust; European Commission; National Institutes of Health; Ministerio de Ciencia e Innovación; National Institute for Health and Care Research; Generalitat de Catalunya; Newcastle University; European Federation of Pharmaceutical Industries and Associations; Department of Health and Social Care; Centres de Recerca de Catalunya","keywords":"Inertial measurement unit; Gait; Physical medicine and rehabilitation; Wrist; Computer science; Artificial intelligence; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001846247,0.0007343948,0.0004797877,0.0007865345,0.0001971482,0.0004017046,0.0006587771,0.0008093293,0.0005931007],"category_scores_gemma":[0.005036878,0.0001772133,0.0006438509,0.000506328,0.000477582,0.0003857634,0.0005037527,0.0002677367,0.0004794684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002361595,"about_ca_system_score_gemma":0.0003396287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00187172,"about_ca_topic_score_gemma":0.00200076,"domain_scores_codex":[0.9991176,0.0002957586,0.00009757923,0.0001918793,0.0002281985,0.00006904822],"domain_scores_gemma":[0.9976555,0.0007339722,0.0002879948,0.0003481699,0.0008640927,0.0001101165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009049916,0.008427274,0.4591491,0.002069509,0.001804923,0.001212867,0.001699265,0.07990209,0.1722899,0.0006751741,0.003451838,0.2602682],"study_design_scores_gemma":[0.0007201668,0.02763265,0.6049352,0.0002489092,0.0007586739,0.003044643,0.0009056752,0.2942011,0.06355618,0.0003984416,0.003442194,0.0001561497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832051,0.0001432585,0.01567792,0.00001911223,0.0000274835,0.0001907556,0.0003327416,0.0001296326,0.0002739953],"genre_scores_gemma":[0.9838291,0.0001430193,0.01415382,0.00002996671,0.00001883305,0.0001698632,0.001368513,0.00001986173,0.0002669432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00187172,"threshold_uncertainty_score":0.009764016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1307887594017664,"score_gpt":0.5186523046441588,"score_spread":0.3878635452423924,"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."}}