{"id":"W7162649935","doi":"10.2196/85361","title":"Use of Wearable Technology for Measuring and Characterizing Sedentary Behavior in People with Mild Cognitive Impairment and Dementia: A Systematic Review (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sedentary behavior; Wearable computer; Cognitive impairment; Cognition; Wearable technology; Physical activity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004773937,0.0001324614,0.0005342046,0.0003818551,0.00006121216,0.00002764676,0.0000427978,0.00003786791,0.00001401277],"category_scores_gemma":[0.00008816877,0.0001086995,0.00003856311,0.0003289048,0.00006035422,0.0001339975,0.0001255663,0.0001401476,5.334294e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005114342,"about_ca_system_score_gemma":0.00006085236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004455952,"about_ca_topic_score_gemma":0.0000324704,"domain_scores_codex":[0.9988769,0.00005425342,0.0003501777,0.0002906248,0.0001780383,0.0002499956],"domain_scores_gemma":[0.9994351,0.0001179776,0.0001027505,0.0001376985,0.0001570354,0.00004949997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001636544,0.0002325083,0.8225647,0.1717811,0.0002339363,0.00002366995,0.0001848952,4.157851e-8,0.003294974,0.000007959169,0.000006659339,0.00150589],"study_design_scores_gemma":[0.002457955,0.0003972813,0.6973346,0.2895139,0.001215715,0.00005753008,0.001233198,0.00008013671,0.007584617,0.000008746599,0.00000502195,0.0001112066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812323,0.01066648,0.0002550247,0.0006076021,0.00001054247,0.007151314,0.000005436477,0.00002486542,0.00004646722],"genre_scores_gemma":[0.9940462,0.002114046,0.000312919,0.0003087083,0.0000036142,0.003089274,0.000006497841,0.00001178713,0.0001069856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.12523,"threshold_uncertainty_score":0.4432637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02485992494470963,"score_gpt":0.318137055744986,"score_spread":0.2932771308002764,"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."}}