{"id":"W3045546221","doi":"10.2196/19554","title":"Artificial Intelligence–Powered Digital Health Platform and Wearable Devices Improve Outcomes for Older Adults in Assisted Living Communities: Pilot Intervention Study","year":2020,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wearable computer; Psychological intervention; Intervention (counseling); Medicine; Wearable technology; Gerontology; Independent living; Computer science; Nursing","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":[0.002424814,0.001104442,0.0009498228,0.0009457839,0.001549451,0.0005359011,0.0008592379,0.001106443,0.002187074],"category_scores_gemma":[0.002377257,0.0005262744,0.001202283,0.0005888619,0.0008559687,0.0007221493,0.00142909,0.001446015,0.0002662803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009370418,"about_ca_system_score_gemma":0.003198106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007015575,"about_ca_topic_score_gemma":0.01110521,"domain_scores_codex":[0.9984276,0.0006829438,0.0001092052,0.0001864785,0.0001718106,0.0004218689],"domain_scores_gemma":[0.9977146,0.0002940292,0.0002500057,0.0001657916,0.0002971345,0.001278416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.07018483,0.7812177,0.04739164,0.0008902236,0.00053819,0.0006884402,0.00248736,0.0004740783,0.006682101,0.0001110919,0.001205291,0.08812915],"study_design_scores_gemma":[0.05498827,0.7589452,0.1808284,0.00008727743,0.0003102345,0.0001344342,0.001565022,0.0006667423,0.001137041,0.00008795532,0.001206876,0.00004259968],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961271,0.00004390415,0.0001350365,0.00004954359,0.00002111873,0.003257727,0.00009162051,0.00001463453,0.0002593008],"genre_scores_gemma":[0.9871446,0.0002074076,0.002018022,0.0001928228,0.00009174334,0.009347879,0.0002991524,0.000003844872,0.0006943796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007015575,"threshold_uncertainty_score":0.01394951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1866088115292963,"score_gpt":0.4361529128117377,"score_spread":0.2495441012824414,"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."}}