{"id":"W4400954367","doi":"10.3233/shti240288","title":"A Multi-Method Exploration of Older Adults’ Technology Use During the Pandemic in Two Canadian Provinces","year":2024,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Canadian Institutes of Health Research; Ministry of Health, British Columbia","keywords":"Thematic analysis; Pandemic; Descriptive statistics; Gerontology; Psychology; Perception; Qualitative research; Applied psychology; Coronavirus disease 2019 (COVID-19); Medicine; Sociology; Disease","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008500931,0.0008062968,0.001125141,0.00620634,0.01713458,0.003949845,0.002131128,0.0009933856,0.001899656],"category_scores_gemma":[0.0105062,0.0008612202,0.0007863531,0.01028971,0.003184865,0.001161286,0.003814719,0.001044947,0.0001564073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06796218,"about_ca_system_score_gemma":0.09128635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9776878,"about_ca_topic_score_gemma":0.9906804,"domain_scores_codex":[0.9945979,0.001937638,0.000429764,0.0004352946,0.001013881,0.001585548],"domain_scores_gemma":[0.99247,0.002580104,0.0005939381,0.0002733076,0.003436229,0.0006463645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000256575,0.00035014,0.09003367,0.0008508776,0.00006219528,0.001441441,0.8728961,0.0002377892,0.001351674,0.001015676,0.001077459,0.0304264],"study_design_scores_gemma":[0.00002531985,0.000206005,0.133143,0.000413139,0.00005193369,0.0001315785,0.8573476,0.0003671875,0.0002791349,0.0001541241,0.00783137,0.00004960513],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902242,0.0007199575,0.001075626,0.0004252735,0.00002283921,0.001939668,0.0007773077,0.00001123224,0.004803923],"genre_scores_gemma":[0.9887371,0.001175976,0.004780994,0.0003750198,0.00001178061,0.00176693,0.0004007869,0.00001366055,0.002737653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06796218,"threshold_uncertainty_score":0.4931024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05188786731287786,"score_gpt":0.401250524251633,"score_spread":0.3493626569387552,"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."}}