{"id":"W3036185179","doi":"10.2196/19514","title":"Monitoring and Management of Home-Quarantined Patients With COVID-19 Using a WeChat-Based Telemedicine System: Retrospective Cohort Study","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Huazhong University of Science and Technology","keywords":"Telemedicine; Retrospective cohort study; Coronavirus disease 2019 (COVID-19); Medicine; Telehealth; Cohort; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Medical emergency; Pandemic; Health care; Virology; Internal medicine","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":[0.0006759546,0.000373825,0.0004531218,0.0008626102,0.0007047377,0.0005956113,0.000425225,0.0005407396,0.001207176],"category_scores_gemma":[0.001678252,0.0004596392,0.0006868165,0.0008160675,0.0003813292,0.0007348214,0.0005758997,0.0006520625,0.0002624204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007123876,"about_ca_system_score_gemma":0.0006220986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006601951,"about_ca_topic_score_gemma":0.006251195,"domain_scores_codex":[0.9993469,0.0001377476,0.00007973727,0.0002021855,0.0001167926,0.0001166884],"domain_scores_gemma":[0.9986431,0.0002003273,0.0005602913,0.0001567838,0.0002339434,0.0002056598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008729337,0.0001055388,0.9986517,0.00001365969,0.00002510797,0.000150793,0.0001736144,0.00001412691,0.0001444335,0.000005519468,0.00005131658,0.0005770623],"study_design_scores_gemma":[0.00002311175,0.0009715516,0.996467,0.00002045318,0.00005807884,0.0006349117,0.001227598,0.000246401,0.0001084288,0.000008803216,0.0002224936,0.00001124221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995753,0.00006647895,0.00006748927,0.000008326349,0.000002137969,0.00004114433,0.0001244389,0.000001693142,0.0001129959],"genre_scores_gemma":[0.9993322,0.0001046353,0.0001370028,0.00003188868,0.000007961084,0.00004806389,0.0002566217,0.000002175422,0.00007937897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006601951,"threshold_uncertainty_score":0.01312709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09965442615377451,"score_gpt":0.4573730007746343,"score_spread":0.3577185746208598,"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."}}