{"id":"W4214520503","doi":"10.1177/23337214221081378","title":"The Text4HealthyAging Program: An Evidence-Based Text Messaging Innovation to Support Healthy Urban Aging in Canada and Australia","year":2022,"lang":"en","type":"article","venue":"Gerontology and Geriatric Medicine","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Mental Health Commission of Canada; Mount Saint Vincent University; Nova Scotia Health Authority; Izaak Walton Killam Health Centre; Dalhousie University; University of Alberta","funders":"","keywords":"Loneliness; Psychosocial; Autonomy; Gerontology; Psychology; Aging in place; Promotion (chess); Quality of life (healthcare); Anxiety; Health promotion; Medicine; Public health; Political science; Nursing; Psychiatry","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":[0.006286532,0.0005975273,0.0007208123,0.001901441,0.003482077,0.002109593,0.002009755,0.0009196382,0.003778794],"category_scores_gemma":[0.01599971,0.000240778,0.001147151,0.00199644,0.001045251,0.001204194,0.003181899,0.001818325,0.0003166551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03203943,"about_ca_system_score_gemma":0.1537564,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8782402,"about_ca_topic_score_gemma":0.9654462,"domain_scores_codex":[0.9959382,0.0009876218,0.0003385196,0.0002190998,0.001872515,0.0006441107],"domain_scores_gemma":[0.9910042,0.001496444,0.0006644026,0.0001604299,0.003308036,0.003366397],"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":[0.001040987,0.003958388,0.02533616,0.01724752,0.0005060746,0.0004265417,0.01067514,0.0006718371,0.0008296951,0.003186989,0.03839301,0.8977277],"study_design_scores_gemma":[0.004829903,0.008802776,0.4939955,0.06663059,0.00562095,0.0004083613,0.01867439,0.004478099,0.002941069,0.003553902,0.3894773,0.0005872193],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6299186,0.1263346,0.008068834,0.08051843,0.003772577,0.02358192,0.006375171,0.001117365,0.1203126],"genre_scores_gemma":[0.8116468,0.09549329,0.04512469,0.01512595,0.0006754826,0.01024043,0.00259263,0.0001160605,0.01898466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1217598,"threshold_uncertainty_score":0.2449536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07695237876509667,"score_gpt":0.3768685908558675,"score_spread":0.2999162120907709,"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."}}