{"id":"W3136464327","doi":"10.2196/28010","title":"Older Adults’ Experiences With Using Technology for Socialization During the COVID-19 Pandemic: Cross-sectional Survey Study","year":2021,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":230,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Simon Fraser University; University of British Columbia","funders":"Canadian Institutes of Health Research; Ministry of Health, British Columbia","keywords":"Pandemic; Cross-sectional study; Socialization; Population; Thematic analysis; Psychology; Gerontology; Preparedness; Random digit dialing; Coronavirus disease 2019 (COVID-19); Medicine; Environmental health; Qualitative research; Social psychology; Sociology; Political science; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001015386,0.0001399791,0.0001686564,0.0001478701,0.002741328,0.0001936376,0.0003840086,0.0002021335,0.00007074809],"category_scores_gemma":[0.0009538305,0.0001138083,0.00004393635,0.001145945,0.0007637031,0.000247379,0.0001193027,0.0002025604,0.000001537372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003619738,"about_ca_system_score_gemma":0.0005983596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001286171,"about_ca_topic_score_gemma":0.02028907,"domain_scores_codex":[0.998157,0.0002876845,0.000252448,0.0005072858,0.0003678949,0.0004276672],"domain_scores_gemma":[0.9988607,0.0002963329,0.0001699969,0.0002456043,0.0003607466,0.0000666894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002998231,0.00007623001,0.9036704,0.00001583106,0.00002556426,0.000007742208,0.09572414,0.00004425798,0.00004697203,0.0001776605,0.00001430573,0.0001668783],"study_design_scores_gemma":[0.001156864,0.00002703224,0.7183938,0.00001876795,0.000007066567,0.00002652806,0.279462,0.00008069046,0.0001326809,0.0001357719,0.0003789891,0.000179864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938458,0.00009626571,0.003603255,0.0005533753,0.0002484615,0.001127124,0.000009492331,0.0004804992,0.00003572528],"genre_scores_gemma":[0.9985957,0.000004274425,0.0002336172,0.0001455172,0.0001476215,0.0006057127,0.000008156008,0.00002008988,0.0002393031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1852766,"threshold_uncertainty_score":0.998557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0640464480222521,"score_gpt":0.4144124040984902,"score_spread":0.3503659560762381,"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."}}