{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008115287,0.0001239566,0.0002197075,0.00007296032,0.00032675,0.00006127705,0.0001792043,0.0001993102,0.00004061442],"category_scores_gemma":[0.003947916,0.0001287989,0.00002614249,0.000269708,0.0004268887,0.0001540901,0.0001047791,0.000273815,0.000008569446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006503394,"about_ca_system_score_gemma":0.0001318029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01311892,"about_ca_topic_score_gemma":0.01732858,"domain_scores_codex":[0.9983563,0.0003362242,0.0002668451,0.0004316233,0.0002245761,0.0003843834],"domain_scores_gemma":[0.9988966,0.0003196164,0.00007296088,0.0001409912,0.00002254846,0.0005472992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001269753,0.0001042181,0.2707906,0.0007399458,0.00002600077,0.0002863447,0.5926656,0.000004361056,0.0002022455,0.01604631,0.002420395,0.1165871],"study_design_scores_gemma":[0.007709309,0.0002095463,0.7227461,0.0004459916,0.00003177327,0.00001138233,0.1376971,0.000373893,0.0002625105,0.01108788,0.1181833,0.00124112],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552554,0.0005673929,0.0002959709,0.04140877,0.0000597584,0.0003088609,0.000008403971,0.0003855769,0.001709816],"genre_scores_gemma":[0.9936212,0.000465912,0.0003606525,0.005357123,0.00006952407,0.00001444161,0.000002706148,0.000008786938,0.00009969051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4549685,"threshold_uncertainty_score":0.9934528,"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."}}