{"id":"W3196451418","doi":"10.18192/uojm.v11is1.5937","title":"Equitable Virtual Care in Canada: Addressing The Digital Divide","year":2021,"lang":"en","type":"article","venue":"University of Ottawa Journal of Medicine","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Health care; Pandemic; Telehealth; Status quo; Telemedicine; Digitization; Digital health; Coronavirus disease 2019 (COVID-19); Phone; Service (business); Internet privacy; Business; Public relations; Medicine; Political science; Computer science; Telecommunications; Disease; Marketing","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003331797,0.00007823113,0.0003686269,0.0001349062,0.00007517552,0.000002948057,0.0001228956,0.00002705034,0.0004055851],"category_scores_gemma":[0.0003284082,0.0000564337,0.00004580219,0.0002790399,0.0001181989,0.0001230372,0.00004579418,0.0002747431,5.682163e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004570874,"about_ca_system_score_gemma":0.003034313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1397836,"about_ca_topic_score_gemma":0.4086637,"domain_scores_codex":[0.9986954,0.00005231367,0.0003972937,0.00008229339,0.0005711612,0.0002015035],"domain_scores_gemma":[0.9987661,0.0001964441,0.000344714,0.0001248363,0.0004164752,0.0001514377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005198678,0.0001143874,0.6384064,0.0003881266,0.0002203028,0.005820206,0.01087082,0.00008798044,0.001219102,0.0005306701,0.1029138,0.2389084],"study_design_scores_gemma":[0.01804539,0.00219778,0.4185019,0.00225703,0.0004382365,0.001377262,0.2939242,0.0000438272,0.001053281,0.00005598726,0.2619629,0.0001422534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625328,0.003420737,0.0005480176,0.02825517,0.0003278381,0.0001196316,0.0000155745,0.000003445979,0.004776769],"genre_scores_gemma":[0.9984325,0.0001681591,0.0001264318,0.0008007277,0.0002150935,2.425997e-8,0.00001974074,0.000005335644,0.0002320023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2830534,"threshold_uncertainty_score":0.8659447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03645140074801444,"score_gpt":0.2862178545120495,"score_spread":0.2497664537640351,"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."}}