{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006334134,0.0002017527,0.0002867779,0.00005001402,0.0002657333,0.0004282621,0.0004814975,0.00006922143,0.000002759694],"category_scores_gemma":[0.001577766,0.0001806268,0.00005064454,0.0004078723,0.00004358911,0.000820144,0.0004523064,0.0001341731,0.00001068227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003707105,"about_ca_system_score_gemma":0.001221794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002175674,"about_ca_topic_score_gemma":0.0001232591,"domain_scores_codex":[0.9979441,0.0000516908,0.000732636,0.0002341172,0.000701408,0.0003360162],"domain_scores_gemma":[0.9971966,0.0004543049,0.0001779056,0.0002737562,0.00009226151,0.00180517],"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":[0.0003211053,0.001077725,0.3569829,0.02246598,0.0004085092,0.01250963,0.1718971,0.001294886,0.000001236893,0.02258675,0.002876596,0.4075775],"study_design_scores_gemma":[0.00876407,0.0009599382,0.02714982,0.0003693556,0.00004358751,0.002239718,0.01268245,0.9162645,0.000008808627,0.0002196017,0.02987396,0.001424215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.342995,0.0000327305,0.6537898,0.001207649,0.0001568774,0.001139651,0.00001840857,0.0005091261,0.00015077],"genre_scores_gemma":[0.9916282,9.86529e-7,0.002323006,0.005827002,0.00006207948,0.000144437,0.000005363484,0.000007087252,0.000001879039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9149696,"threshold_uncertainty_score":0.7365745,"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."}}