{"id":"W3097996666","doi":"10.1108/qaoa-07-2020-0029","title":"COVID-19 and AgeTech","year":2020,"lang":"en","type":"article","venue":"Quality in Ageing and Older Adults","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"AGE-WELL","keywords":"Telehealth; Pandemic; Business; Originality; Coronavirus disease 2019 (COVID-19); Digital health; Social media; Public relations; Telemedicine; Emerging technologies; Social isolation; Internet privacy; Psychology; Political science; Medicine; Health care; Sociology; Computer science; Qualitative research","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":[0.01239509,0.0006497462,0.0005993056,0.003024779,0.01325091,0.01574182,0.002910347,0.005207802,0.05484923],"category_scores_gemma":[0.03514548,0.0004005185,0.0008612609,0.004110765,0.00919593,0.007223471,0.01432548,0.007771368,0.007654211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05495026,"about_ca_system_score_gemma":0.1744992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6864783,"about_ca_topic_score_gemma":0.6837463,"domain_scores_codex":[0.9835896,0.002808024,0.0007972292,0.001354571,0.005687451,0.005763082],"domain_scores_gemma":[0.952783,0.005935998,0.002007555,0.001749458,0.01634688,0.02117704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007969459,0.00006240332,0.01031018,0.001023695,0.00001626254,0.0004141659,0.009774457,0.0001294777,0.0001614386,0.2366093,0.6246824,0.1167367],"study_design_scores_gemma":[0.000007386795,0.00001439947,0.00532756,0.0009538526,0.000005877159,0.0001049676,0.005182052,0.00003085502,0.00004581213,0.003964758,0.9843354,0.00002705252],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01158658,0.03158435,0.002251276,0.3690173,0.01899604,0.0005953969,0.004773962,0.0003357261,0.5608594],"genre_scores_gemma":[0.2959144,0.05155771,0.007884638,0.2808726,0.007299763,0.001524952,0.007939487,0.0006745011,0.3463319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6864783,"threshold_uncertainty_score":0.6307361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04460752675369245,"score_gpt":0.3545682148912242,"score_spread":0.3099606881375317,"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."}}