{"id":"W4225278432","doi":"10.2196/37042","title":"Experiences and Challenges of Emerging Online Health Services Combating COVID-19 in China: Retrospective, Cross-Sectional Study of Internet Hospitals","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Government (linguistics); China; Service (business); Telemedicine; Medicine; Pandemic; Business; Health care; Medical emergency; Public relations; Coronavirus disease 2019 (COVID-19); Political science; Marketing; World Wide Web; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001146351,0.0002991879,0.000354074,0.00145079,0.001185887,0.0008816994,0.0004852525,0.0006012995,0.001073173],"category_scores_gemma":[0.002532311,0.0004816276,0.0004498951,0.001844028,0.000725735,0.001278771,0.001257132,0.0006256897,0.0001542185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538846,"about_ca_system_score_gemma":0.001695503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03295026,"about_ca_topic_score_gemma":0.04388035,"domain_scores_codex":[0.9991952,0.0001664741,0.0001341995,0.000137786,0.0001414735,0.0002248264],"domain_scores_gemma":[0.9977761,0.0003133618,0.0009793487,0.0001223058,0.0002719659,0.0005368353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001788669,0.00006082378,0.9933269,0.00002458979,0.00001264281,0.0002048918,0.005165142,0.00002133164,0.0001170662,0.00002961443,0.00007863258,0.0009405494],"study_design_scores_gemma":[0.000001442401,0.0001089612,0.9811302,0.00001835232,0.00001010558,0.0002224532,0.01803569,0.0001162505,0.00005003982,0.00001199441,0.0002844631,0.00001009339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996685,0.00005490298,0.00002210779,0.00002894158,8.734749e-7,0.00001467863,0.00008145123,7.023925e-7,0.0001278599],"genre_scores_gemma":[0.9994671,0.0001173743,0.00005184434,0.00005700528,0.000003173701,0.00002911462,0.0001611547,0.000001177782,0.0001119943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03295026,"threshold_uncertainty_score":0.06551695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0417257451064123,"score_gpt":0.4189133098677888,"score_spread":0.3771875647613765,"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."}}