{"id":"W4308353515","doi":"10.2196/39728","title":"Virtual Care and Electronic Patient Communication During COVID-19: Cross-sectional Study of Inequities Across a Canadian Tertiary Cancer Center","year":2022,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; Women's College Hospital; Public Health Ontario; University of Toronto","funders":"Princess Margaret Cancer Foundation","keywords":"Socioeconomic status; Medicine; Cross-sectional study; Health equity; Family medicine; Health care; Patient portal; Telemedicine; Pandemic; Coronavirus disease 2019 (COVID-19); Demography; Gerontology; Public health; Population; Environmental health; Nursing; Internal medicine; Disease","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":[0.001321402,0.000289839,0.0003727914,0.001167394,0.003653655,0.00137537,0.001377228,0.0005012237,0.002183936],"category_scores_gemma":[0.003617271,0.0003294302,0.0004171541,0.003683859,0.001013314,0.0005605253,0.001910393,0.001116505,0.0001689315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01611253,"about_ca_system_score_gemma":0.01836338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9366342,"about_ca_topic_score_gemma":0.9529227,"domain_scores_codex":[0.9981083,0.0001956263,0.0001368672,0.0002810058,0.0006461837,0.0006320672],"domain_scores_gemma":[0.9962981,0.000346834,0.001095866,0.0001241377,0.0008917378,0.001243347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002587294,0.00005772002,0.9965425,0.00002046144,0.00001454709,0.00004070416,0.001673629,0.00002895947,0.00007615475,0.00002838383,0.0002776676,0.001213463],"study_design_scores_gemma":[0.00000229299,0.00004667938,0.9948796,0.00001741009,0.00000666018,0.00003927399,0.004595628,0.0001097335,0.00002314502,0.000006449091,0.0002663868,0.000006745697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984002,0.0001063758,0.00003350781,0.000128792,0.000002692794,0.00004217449,0.0006165255,0.000003046718,0.0006666453],"genre_scores_gemma":[0.9992601,0.00008281115,0.00006517767,0.00009296378,0.000002949875,0.00002186913,0.0003203413,0.000002023097,0.0001518023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06336576,"threshold_uncertainty_score":0.1274778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07680801622487093,"score_gpt":0.4943245437606889,"score_spread":0.417516527535818,"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."}}