{"id":"W4312140676","doi":"10.2196/43106","title":"Canadian Older Adults’ Intention to Use an Electronic Decision Aid for Housing Decisions: Cross-sectional Web-Based Survey","year":2022,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Université du Québec à Trois-Rivières; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Université Laval; Centres Intégré Universitaires de Santé et de Services Sociaux","funders":"Canadian Institutes of Health Research; ZonMw; Joint Programming Initiative More Years, Better Lives","keywords":"Unified theory of acceptance and use of technology; eHealth; Expectancy theory; Cross-sectional study; Psychology; Descriptive statistics; Health literacy; Health Information National Trends Survey; Health care; Gerontology; Applied psychology; Medicine; Social psychology; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001503393,0.0003920382,0.0004064869,0.001798554,0.002390687,0.001074206,0.0009608599,0.0005665392,0.003531385],"category_scores_gemma":[0.003144959,0.0003939555,0.0006849007,0.003841681,0.0005238201,0.000571622,0.0009431016,0.0008013032,0.0007213146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01107122,"about_ca_system_score_gemma":0.01375629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9764508,"about_ca_topic_score_gemma":0.9835332,"domain_scores_codex":[0.9989182,0.00006753863,0.0001113889,0.0001371173,0.000539074,0.0002267683],"domain_scores_gemma":[0.99704,0.0001587804,0.0004989351,0.00008097616,0.001691879,0.0005293458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003867005,0.0001372733,0.9903643,0.0001113992,0.00004004364,0.00005101109,0.001857931,0.00005885478,0.0001422591,0.00006248084,0.002447541,0.004688325],"study_design_scores_gemma":[0.000007880868,0.00003852055,0.9966958,0.00003564716,0.00001340089,0.00002494466,0.001559577,0.000185231,0.00004134938,0.000009295954,0.001377601,0.00001092227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841877,0.0002719731,0.0001647029,0.0003039817,0.00001452297,0.0003321448,0.0113299,0.00001552753,0.003379564],"genre_scores_gemma":[0.9891691,0.0005771318,0.0008272678,0.0004596447,0.00001159375,0.0003238162,0.006668408,0.00000752158,0.001955546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0235492,"threshold_uncertainty_score":0.08032769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0974164324139388,"score_gpt":0.4566715173199808,"score_spread":0.359255084906042,"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."}}