{"id":"W3206813032","doi":"10.1097/acm.0000000000004464","title":"The Rise of Virtual Care in the Pandemic Era: Ensuring Equitable Systems for Our Most Marginalized Populations","year":2021,"lang":"en","type":"letter","venue":"Academic Medicine","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Health care; Equity (law); Health equity; Incentive; Public relations; Socioeconomic status; Psychological intervention; Medicine; Business; Internet privacy; Political science; Nursing; Environmental health; Public health; Population; Computer science","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":[0.005997802,0.0009486227,0.001172074,0.0007734789,0.003082099,0.005897845,0.00386503,0.01687094,0.01684494],"category_scores_gemma":[0.05731696,0.0006427909,0.0009181875,0.0005243989,0.003750823,0.006544974,0.002019933,0.02693269,0.005229397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002451424,"about_ca_system_score_gemma":0.005383786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00219657,"about_ca_topic_score_gemma":0.004685741,"domain_scores_codex":[0.9952473,0.001850102,0.0004344632,0.0005406654,0.001461267,0.0004661545],"domain_scores_gemma":[0.9611694,0.02302648,0.00190319,0.000810537,0.008961954,0.004128512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002466471,0.00001613893,0.0001524908,0.0002825056,0.00001139238,0.0003276501,0.000165924,0.00004971464,0.00004501197,0.001039156,0.9837785,0.01410698],"study_design_scores_gemma":[0.0000331468,0.0000513463,0.0004944639,0.00128205,0.00003341222,0.001258867,0.0006261853,0.0003685803,0.0002424825,0.004026664,0.99154,0.00004267615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004349239,0.00877098,0.0005376149,0.7047557,0.2828252,0.00002029746,0.00005745167,0.00007818554,0.002519641],"genre_scores_gemma":[0.01015584,0.01706921,0.0008969255,0.3903897,0.572859,0.00005071634,0.00004246106,0.0001352979,0.008400762],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01687094,"threshold_uncertainty_score":0.0563519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1229996687285466,"score_gpt":0.4077194014921504,"score_spread":0.2847197327636038,"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."}}