{"id":"W7117687007","doi":"10.1186/s12877-025-06249-1","title":"Family caregivers’ acceptance of Artificial Intelligence-enabled technologies for providing care to older adults","year":2025,"lang":"en","type":"article","venue":"BMC Geriatrics","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; McGill University Health Centre; Jewish General Hospital; St Mary's Hospital Centre; McGill University","funders":"","keywords":"Checklist; Descriptive statistics; Variance (accounting); The Internet; Relevance (law); Polling; Reading (process); Emerging technologies","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003067834,0.0001735233,0.0001967737,0.0005765818,0.0008540701,0.001082759,0.0002893821,0.0004904816,0.002095634],"category_scores_gemma":[0.01338799,0.0001340541,0.000387473,0.000463388,0.0005276149,0.0006237687,0.0006170857,0.0005176616,0.0001622708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009937955,"about_ca_system_score_gemma":0.00168327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05458493,"about_ca_topic_score_gemma":0.05778942,"domain_scores_codex":[0.9988158,0.0004996777,0.0001331771,0.00009161854,0.0003309663,0.0001287792],"domain_scores_gemma":[0.9922464,0.00281064,0.002479315,0.0002354229,0.001313587,0.0009145613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003918307,0.00008472621,0.9681014,0.0001019648,0.00003198389,0.000193386,0.01794215,0.0000763199,0.000151368,0.0000848144,0.001071235,0.01212154],"study_design_scores_gemma":[0.000007373035,0.0001267709,0.9571936,0.0002258477,0.00003267918,0.000238426,0.03958645,0.0003315579,0.000101857,0.00008731933,0.002048843,0.0000191922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980384,0.0003568138,0.00008339358,0.0004400444,0.000008190037,0.00001639141,0.00009533542,0.000003042177,0.0009584122],"genre_scores_gemma":[0.9992974,0.0003175163,0.0001065675,0.00008610365,0.000003844916,0.000015741,0.00005725493,6.979805e-7,0.0001149685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05458493,"threshold_uncertainty_score":0.1085344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357528164493875,"score_gpt":0.3036139620149541,"score_spread":0.2800386803700153,"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."}}