{"id":"W4200171367","doi":"10.2196/preprints.35221","title":"Socioeconomic Disparities in the Demand for and Use of Virtual Visits Among Senior Adults During the COVID-19 Pandemic: Cross-sectional Study (Preprint)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Health Infoway","funders":"","keywords":"Socioeconomic status; Pandemic; Health care; Cross-sectional study; Medicine; Logistic regression; Gerontology; Coronavirus disease 2019 (COVID-19); Social distance; Population; Demography; Environmental health; Political science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007038856,0.0002031056,0.0002802756,0.0009330719,0.001234806,0.0008423686,0.000679665,0.0006500825,0.002845738],"category_scores_gemma":[0.002366144,0.0003300482,0.0007740079,0.002600877,0.0003290523,0.0006072486,0.0006305312,0.0006878046,0.0003788713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003126759,"about_ca_system_score_gemma":0.004361927,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8008587,"about_ca_topic_score_gemma":0.8440329,"domain_scores_codex":[0.9994192,0.00004838464,0.00008416409,0.00009818679,0.0001814409,0.000168699],"domain_scores_gemma":[0.9983013,0.0001504847,0.000608357,0.00008152902,0.0004601298,0.0003982248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002298993,0.00003588178,0.9986069,0.00001480445,0.00002984516,0.00001135578,0.0002280183,0.000008762569,0.0000258757,0.00001627903,0.0005076801,0.0004917447],"study_design_scores_gemma":[0.000002579274,0.00002433781,0.9991016,0.00001274423,0.000009064183,0.00001313467,0.0006115938,0.00003038956,0.000007887899,0.00000389794,0.00018005,0.000002729833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920459,0.000170444,0.00003531097,0.0001937395,0.00001321526,0.00005417496,0.006397462,0.000003701223,0.001086045],"genre_scores_gemma":[0.9961522,0.000205015,0.00008943562,0.0002194585,0.00001298697,0.0000529982,0.002746793,0.000002653091,0.0005184244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8008587,"threshold_uncertainty_score":0.4006282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0896946577960198,"score_gpt":0.4429423009287588,"score_spread":0.353247643132739,"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."}}