{"id":"W4211242189","doi":"10.2196/35221","title":"Socioeconomic Disparities in the Demand for and Use of Virtual Visits Among Senior Adults During the COVID-19 Pandemic: Cross-sectional Study","year":2022,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Health Infoway","funders":"Government of Canada","keywords":"Socioeconomic status; Pandemic; Cross-sectional study; Health care; Medicine; Logistic regression; Gerontology; Social distance; Population; Environmental health; Coronavirus disease 2019 (COVID-19); Demography; Disease; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008805105,0.0002786766,0.000328887,0.001157167,0.00161448,0.0008990219,0.0008221885,0.0006358572,0.001737907],"category_scores_gemma":[0.002263157,0.0003310627,0.0007317394,0.002501027,0.0005002557,0.0005991174,0.00091405,0.0007312559,0.0002636669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004472594,"about_ca_system_score_gemma":0.005486786,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8185043,"about_ca_topic_score_gemma":0.8552409,"domain_scores_codex":[0.999113,0.00006803528,0.0001108405,0.0001536848,0.0002952253,0.0002590634],"domain_scores_gemma":[0.9985434,0.00009330517,0.0005048828,0.00007719455,0.0004251252,0.0003562431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000180691,0.00003648437,0.9987452,0.0000150904,0.0000313827,0.00001645474,0.0003312103,0.00001261726,0.00002893531,0.00002187241,0.0002411116,0.0005015939],"study_design_scores_gemma":[0.000002397069,0.00002808286,0.9986156,0.00001672537,0.00001254074,0.00002742013,0.001023394,0.00005283998,0.000009791244,0.000007177261,0.0002002895,0.000003707561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952186,0.0002164712,0.00005305326,0.0001261161,0.000006856955,0.00005562782,0.003285192,0.000003519684,0.001034486],"genre_scores_gemma":[0.9979869,0.0001755249,0.00009904961,0.0001264371,0.00000608561,0.00003792561,0.001326493,0.000001841262,0.0002398278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8185043,"threshold_uncertainty_score":0.3651291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05135072229537238,"score_gpt":0.3879877327246633,"score_spread":0.336637010429291,"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."}}