{"id":"W4379230162","doi":"10.1177/20552076231179031","title":"User-centered design of feedback regarding health-related behaviors derived from wearables: An approach targeting older adults and persons living with neurodegenerative disease","year":2023,"lang":"en","type":"article","venue":"Digital Health","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Baycrest Hospital; Health Sciences Centre; University of Waterloo; Sunnybrook Health Science Centre; University of Toronto","funders":"National Institute on Aging; Ontario Brain Institute","keywords":"Wearable computer; Health care; Stakeholder; Wearable technology; Medicine; Gerontology; Psychology; Applied psychology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01658481,0.0009557825,0.0004840428,0.0008399312,0.0009863738,0.001698342,0.001279367,0.000801901,0.002842775],"category_scores_gemma":[0.02584397,0.0004089825,0.0007906397,0.0003700797,0.0008071316,0.001274289,0.002084951,0.0006428525,0.0005519787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007806616,"about_ca_system_score_gemma":0.001911011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006785525,"about_ca_topic_score_gemma":0.001429953,"domain_scores_codex":[0.9899758,0.007290783,0.0005460326,0.0008921556,0.0009492053,0.0003460901],"domain_scores_gemma":[0.9813188,0.01154223,0.001530938,0.001574436,0.003079059,0.0009543826],"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":[0.004815205,0.01181275,0.06068153,0.005089698,0.0003130941,0.001052921,0.1418529,0.003591696,0.08136338,0.003042429,0.003974024,0.6824104],"study_design_scores_gemma":[0.008077505,0.1331236,0.2471222,0.005045897,0.002763765,0.003152893,0.184248,0.06304762,0.1830591,0.01635329,0.1529679,0.001038176],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8095062,0.0002830127,0.1720065,0.0006740032,0.0001008516,0.01015616,0.000241994,0.001086878,0.005944392],"genre_scores_gemma":[0.7043282,0.0002304631,0.2817404,0.000343832,0.00004236352,0.01002275,0.0002218124,0.00008638196,0.002983827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01658481,"threshold_uncertainty_score":0.0877099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02733399352058164,"score_gpt":0.2829684489187639,"score_spread":0.2556344553981822,"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."}}