{"id":"W4413247835","doi":"10.2196/77140","title":"Machine Learning Approach for Frailty Detection in Long-Term Care Using Accelerometer-Measured Gait and Daily Physical Activity: Model Development and Validation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Frailty in Older Adults","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accelerometer; Preprint; Gait analysis; Term (time); Gait; Physical activity; Physical medicine and rehabilitation; Computer science; Medicine; World Wide Web","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":[0.01148895,0.001639527,0.001476125,0.001112416,0.0005528345,0.0009005397,0.001267473,0.001184024,0.001307035],"category_scores_gemma":[0.01298293,0.0004218501,0.001773462,0.0007572763,0.0003368855,0.0006070851,0.001080053,0.002285453,0.0004637524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136843,"about_ca_system_score_gemma":0.002288439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03244427,"about_ca_topic_score_gemma":0.01670939,"domain_scores_codex":[0.9984578,0.0009571463,0.00009969524,0.0002155753,0.0001551365,0.0001146575],"domain_scores_gemma":[0.9910387,0.006219521,0.0003966973,0.0003687617,0.001827006,0.0001491926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001418168,0.00222162,0.06445193,0.0003789322,0.001506,0.0001809275,0.0001697698,0.7888717,0.0009537289,0.0006504297,0.003031999,0.1361648],"study_design_scores_gemma":[0.00004021857,0.0002528725,0.004232738,0.00003442866,0.00006850374,0.0000164813,0.00002100446,0.9948776,0.0001556539,0.0001425531,0.0001487528,0.000009233014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7787209,0.005697153,0.2086749,0.0009855747,0.0002205571,0.0009702448,0.001113171,0.001204328,0.002413213],"genre_scores_gemma":[0.9557551,0.0009064371,0.03969903,0.0001853407,0.0000386301,0.0006531748,0.001493207,0.00003499507,0.001234059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03244427,"threshold_uncertainty_score":0.06451082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06498903882333722,"score_gpt":0.3466173531625393,"score_spread":0.2816283143392021,"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."}}