{"id":"W4301185074","doi":"10.2196/preprints.43106","title":"Canadian Older Adults’ Intention to Use an Electronic Decision Aid for Housing Decisions: Cross-sectional Web-Based Survey (Preprint)","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"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","funders":"","keywords":"Unified theory of acceptance and use of technology; eHealth; Expectancy theory; Cross-sectional study; Psychology; Health Information National Trends Survey; Decision aids; Health literacy; Descriptive statistics; Gerontology; Health care; Medicine; Social psychology; Statistics","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":[0.001393924,0.000326088,0.0003895623,0.00173131,0.00203105,0.001202391,0.0008893001,0.0005286703,0.005202325],"category_scores_gemma":[0.003847011,0.0003846087,0.0008655879,0.003930379,0.0004498883,0.0006757231,0.0008678524,0.0007634756,0.0007340214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01072515,"about_ca_system_score_gemma":0.01345952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9782722,"about_ca_topic_score_gemma":0.9831406,"domain_scores_codex":[0.9990332,0.00006553756,0.0001268115,0.0001188914,0.0004631736,0.0001923363],"domain_scores_gemma":[0.9965202,0.0002777141,0.0006687787,0.0001013519,0.001815627,0.0006162561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005128528,0.0001647514,0.9871339,0.0001330035,0.00005070229,0.00003491307,0.001950701,0.00006786302,0.0001322906,0.00007948282,0.004617428,0.005583578],"study_design_scores_gemma":[0.000008064038,0.00003624005,0.9970271,0.00003461333,0.00001418397,0.00001528923,0.001223308,0.0001437576,0.00003569583,0.000008101393,0.001442883,0.00001078086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704188,0.0002364306,0.0001373872,0.0004354227,0.00002433888,0.0003509976,0.02431105,0.00002213312,0.004063505],"genre_scores_gemma":[0.9802974,0.0005472745,0.0008868105,0.0007227077,0.00002206577,0.00039402,0.0139494,0.00001225484,0.003168003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0217278,"threshold_uncertainty_score":0.07781672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04516673392896847,"score_gpt":0.3518299245126433,"score_spread":0.3066631905836748,"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."}}