{"id":"W4206640578","doi":"10.2196/preprints.20049","title":"Digital Approaches to Remote Pediatric Health Care Delivery During the COVID-19 Pandemic: Existing Evidence and a Call for Further Research (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Mental Health; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Telemedicine; Pandemic; Digital health; Health care; Interim; Coronavirus disease 2019 (COVID-19); Public health; Preprint; Telehealth; Medicine; Public relations; Business; Internet privacy; Computer science; Political science; Nursing; Disease; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.03549533,0.0008547165,0.001785924,0.00359428,0.001513879,0.01097199,0.003607171,0.003695529,0.03130521],"category_scores_gemma":[0.1636069,0.0008083689,0.003582173,0.006101126,0.003950978,0.01182048,0.004601606,0.00600105,0.002508303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006049148,"about_ca_system_score_gemma":0.01653899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0214463,"about_ca_topic_score_gemma":0.02314571,"domain_scores_codex":[0.9714237,0.01870772,0.003860089,0.001576251,0.003487729,0.0009445213],"domain_scores_gemma":[0.698872,0.2550775,0.01905309,0.004835172,0.01855415,0.003607991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008851453,0.0006931248,0.02430168,0.1295502,0.002715292,0.000245701,0.005733742,0.0003639061,0.00007736799,0.02213645,0.03532438,0.7779729],"study_design_scores_gemma":[0.0006268648,0.001029534,0.06284381,0.7056005,0.00643083,0.0005100635,0.02379442,0.0006710268,0.0003156603,0.01886722,0.1790927,0.0002173566],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01093203,0.8618582,0.001817786,0.1018434,0.003113681,0.0006142636,0.001435198,0.00004713409,0.01833831],"genre_scores_gemma":[0.08325808,0.8860316,0.005418126,0.01941003,0.00371974,0.0006688566,0.0007188099,0.00004824092,0.0007266372],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03549533,"threshold_uncertainty_score":0.1877195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6038663712254823,"score_gpt":0.493087508954247,"score_spread":0.1107788622712353,"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."}}