{"id":"W4405980950","doi":"10.1093/geroni/igae098.4271","title":"IN-HOME ASSISTIVE TECHNOLOGY PROTECTS DEMENTIA CAREGIVERS FROM WORSENING SLEEP EFFICIENCY","year":2024,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Dementia; Sleep (system call); Assistive technology; Gerontology; Medicine; Physical medicine and rehabilitation; Psychology; Audiology; Computer science; Human–computer interaction; Operating system; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006283212,0.0002724766,0.0004642121,0.000186194,0.0002028709,0.0003485537,0.0002391643,0.0002821016,0.001801707],"category_scores_gemma":[0.002447984,0.0001070513,0.0004439878,0.0001460244,0.000169927,0.0002150872,0.0002097969,0.0003164815,0.0001312028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001786797,"about_ca_system_score_gemma":0.0003405269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008502999,"about_ca_topic_score_gemma":0.001196959,"domain_scores_codex":[0.9997075,0.0001464722,0.00002616864,0.00003615852,0.00004134125,0.00004221412],"domain_scores_gemma":[0.9993253,0.0002667832,0.0001749894,0.00007170764,0.00005941915,0.0001018499],"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":[0.1435614,0.04687969,0.108824,0.005939717,0.002495114,0.0003759676,0.001217856,0.001228177,0.05531244,0.0003049624,0.004263661,0.629597],"study_design_scores_gemma":[0.02001063,0.3205373,0.6140804,0.001327439,0.00350524,0.0006318623,0.001353698,0.00350076,0.02760567,0.0007146348,0.006675425,0.000056957],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977885,0.001274249,0.0001952021,0.0000799378,0.00003060674,0.00006660847,0.00005496161,0.00001587031,0.0004940567],"genre_scores_gemma":[0.9986501,0.0006100871,0.00033396,0.00007044086,0.00001675785,0.00007901222,0.00004606773,0.000001225595,0.0001923786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001801707,"threshold_uncertainty_score":0.006027281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270130801876928,"score_gpt":0.2877600308457541,"score_spread":0.2750587228269848,"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."}}