{"id":"W3164443705","doi":"10.2196/20994","title":"Experiences With Internet Triaging of 9498 Outpatients Daily at the Largest Public Hospital in Taiwan During the COVID-19 Pandemic: Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Taipei Veterans General Hospital","keywords":"Triage; Observational study; The Internet; Medical emergency; Medicine; Pandemic; Coronavirus disease 2019 (COVID-19); World Wide Web; Disease; Computer science; Infectious disease (medical specialty); Pathology","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":[0.0007685727,0.0003822323,0.0004542477,0.0009714553,0.001367433,0.0009841354,0.0004999168,0.0008289109,0.001638209],"category_scores_gemma":[0.00366952,0.0004595159,0.0003648639,0.0007621073,0.0005327198,0.0008295307,0.001150363,0.000933476,0.0003129579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009785099,"about_ca_system_score_gemma":0.000797735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01090301,"about_ca_topic_score_gemma":0.01820068,"domain_scores_codex":[0.9993988,0.0001972543,0.0000650972,0.00008529807,0.00009674078,0.0001568797],"domain_scores_gemma":[0.9976423,0.000429116,0.0009245183,0.0001286097,0.000221833,0.0006536164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001925373,0.0009817311,0.9742433,0.00005048708,0.00003093834,0.003167045,0.01516396,0.00006441,0.0007596134,0.00002927145,0.0006031212,0.004713473],"study_design_scores_gemma":[0.00003506727,0.001963161,0.9378774,0.00005304548,0.0000466818,0.002235859,0.0555221,0.0006393471,0.0002794348,0.00002665214,0.001280508,0.00004081083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996446,0.00002706516,0.000027875,0.00003188885,0.000002391499,0.00002717327,0.00005833772,0.000002562594,0.0001780988],"genre_scores_gemma":[0.9993011,0.0001015717,0.0000943847,0.00007390544,0.00001245679,0.00003869778,0.0001801839,0.000004418032,0.000193172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01090301,"threshold_uncertainty_score":0.0216791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08203155362625882,"score_gpt":0.3345542227129005,"score_spread":0.2525226690866417,"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."}}