{"id":"W3112671099","doi":"10.2196/20567","title":"Global Infectious Disease Surveillance and Case Tracking System for COVID-19: Development Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and Technology, Taiwan","keywords":"Interoperability; Health information exchange; Health care; International Health Regulations; Global health; Pandemic; Disease surveillance; Upload; Medicine; Public health; Medical emergency; Infectious disease (medical specialty); Business; Computer science; Coronavirus disease 2019 (COVID-19); Disease; World Wide Web; Nursing; Economic growth","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":[0.003757396,0.000354603,0.0002095374,0.0009071066,0.0003708442,0.0007201617,0.0006091554,0.0004261034,0.003061731],"category_scores_gemma":[0.004029281,0.0001235997,0.0003624251,0.0006414243,0.000314325,0.001179915,0.0007776746,0.0003001836,0.000794498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009284047,"about_ca_system_score_gemma":0.002049917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004223161,"about_ca_topic_score_gemma":0.00191336,"domain_scores_codex":[0.998429,0.0006698817,0.0001003113,0.0002051466,0.0004221979,0.0001734841],"domain_scores_gemma":[0.9975697,0.0005871653,0.0001988213,0.0002728344,0.001041049,0.0003303293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001932322,0.00287039,0.2749661,0.00147285,0.0001209605,0.001781115,0.002484725,0.03190137,0.04431743,0.01455233,0.02317973,0.6004207],"study_design_scores_gemma":[0.001084187,0.01451153,0.2833979,0.0007010052,0.0004731388,0.00462738,0.004106323,0.4094592,0.09488599,0.003771654,0.1827353,0.0002463756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8740705,0.00108719,0.09272335,0.001543685,0.0001124119,0.005147242,0.003128129,0.001968422,0.02021906],"genre_scores_gemma":[0.9092792,0.0008378146,0.07767563,0.0001738246,0.0000370132,0.001033013,0.006405807,0.00005599459,0.004501781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004223161,"threshold_uncertainty_score":0.01987129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03747813063494781,"score_gpt":0.3271239146383524,"score_spread":0.2896457840034046,"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."}}