{"id":"W6963946640","doi":"10.25384/sage.19105312","title":"sj-docx-2-dhj-10.1177_20552076221074486 - Supplemental material for Virtual Care Access and Health Equity during the COVID-19 Pandemic, a qualitative study of patients with chronic diseases from Canada","year":2022,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Qualitative research; Health care; Digital health; Equity (law); Health equity; Public health; Chronic disease; Telehealth; MEDLINE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001446943,0.0008078596,0.0008820506,0.002695439,0.004842959,0.005162132,0.002113638,0.001504386,0.9093857],"category_scores_gemma":[0.01757606,0.0008450333,0.0004630059,0.008100398,0.001218318,0.002798526,0.002760095,0.001950796,0.4002193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009537406,"about_ca_system_score_gemma":0.01697456,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5389653,"about_ca_topic_score_gemma":0.6915394,"domain_scores_codex":[0.9990687,0.0001085236,0.00006422431,0.00006488377,0.0004408353,0.0002529385],"domain_scores_gemma":[0.9802459,0.008466654,0.0003874757,0.0005736339,0.007779588,0.002546732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001629943,0.00003510032,0.0002407515,0.000261458,0.000001362683,0.0000230043,0.0005795675,0.00002355674,0.00002515723,0.0002613834,0.994984,0.003548332],"study_design_scores_gemma":[0.0004535844,0.00003783563,0.01094521,0.001360613,0.00001051442,0.00007784029,0.01329576,0.0001752021,0.0002331689,0.00147087,0.9718558,0.00008366485],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001271748,0.0001239254,0.0002770979,0.002496523,0.0006903037,0.001086021,0.879623,0.001144678,0.1132868],"genre_scores_gemma":[0.0313318,0.001317036,0.004058378,0.004677196,0.0005094065,0.0106591,0.5425649,0.004163658,0.4007186],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9093857,"threshold_uncertainty_score":0.9274997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1363511057410919,"score_gpt":0.4745764575501765,"score_spread":0.3382253518090846,"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."}}