{"id":"W3018540055","doi":"10.2196/18808","title":"A Guide to Chatbots for COVID-19 Screening at Pediatric Health Care Facilities","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Health care; Public health; Digital health; Coronavirus disease 2019 (COVID-19); Triage; Pandemic; Medicine; Medical emergency; Telemedicine; Nursing; Disease; Infectious disease (medical specialty); Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001003067,0.0002457402,0.0005235508,0.0001772024,0.0006176009,0.00009721863,0.0002458907,0.00009220079,0.0001914388],"category_scores_gemma":[0.0007087115,0.0002573633,0.0001181153,0.0004794586,0.00005201941,0.0001403221,0.0001626381,0.0001590985,0.0001270149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005892562,"about_ca_system_score_gemma":0.001161515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009669624,"about_ca_topic_score_gemma":0.00140179,"domain_scores_codex":[0.996457,0.0003554639,0.0009211552,0.0007411249,0.0002623145,0.00126296],"domain_scores_gemma":[0.994503,0.0003239226,0.000281012,0.0003172084,0.0001191984,0.004455619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004361513,0.0001318681,0.1029814,0.005722034,0.00002724911,0.000005844539,0.0344767,0.000003421481,1.521077e-7,0.003985222,0.7048473,0.1473826],"study_design_scores_gemma":[0.001241441,0.001961718,0.01425816,0.000009516092,2.467181e-7,0.00001279313,0.005538944,0.00001893543,7.320516e-8,0.0000196889,0.9767296,0.0002089394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09564167,0.01885182,0.02271305,0.8390867,0.001604469,0.007591119,0.00613045,0.0007786325,0.007602106],"genre_scores_gemma":[0.8325921,0.00008876722,0.001736921,0.1544122,0.0006308914,0.001950449,0.0006106622,0.00006328847,0.007914721],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7369505,"threshold_uncertainty_score":0.9999878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074610941961154,"score_gpt":0.435448804920262,"score_spread":0.3279877107241466,"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."}}