{"id":"W3113787487","doi":"10.2196/24204","title":"The Global Infectious Diseases Epidemic Information Monitoring System: Development and Usability Study of an Effective Tool for Travel Health Management in China","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Planning Project of Guangdong Province; National Key Research and Development Program of China; Sun Yat-sen University; National Natural Science Foundation of China","keywords":"Infectious disease (medical specialty); China; Environmental health; Safeguarding; Global health; Medicine; Disease surveillance; Quarantine; Travel medicine; Usability; International Health Regulations; Preparedness; Disease; Public health; Computer science; Geography; Coronavirus disease 2019 (COVID-19); Political 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002110444,0.0001808416,0.0005946927,0.00006112965,0.0002722685,0.00005867549,0.00009978948,0.00003443617,3.09561e-7],"category_scores_gemma":[0.0005227956,0.0001402965,0.00002950636,0.0003778661,0.00005606221,0.0002990143,0.00008068987,0.0001100857,5.767751e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005352373,"about_ca_system_score_gemma":0.0004608477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002259744,"about_ca_topic_score_gemma":0.000282901,"domain_scores_codex":[0.9975003,0.0005625095,0.0008450261,0.0003445049,0.0002962498,0.0004513967],"domain_scores_gemma":[0.998395,0.000219764,0.0003241127,0.0002738303,0.0001001009,0.0006871648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003028037,0.0001915015,0.7222204,0.002809986,0.00003774315,0.000001144836,0.001918376,0.000005327591,7.618042e-8,0.0001115485,0.00003783391,0.2723633],"study_design_scores_gemma":[0.003176859,0.001063462,0.9887515,0.00005554515,0.000001734057,0.000004587503,0.003980388,0.001090921,1.540462e-7,0.00001045785,0.001759748,0.0001045837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902952,0.0007138721,0.0005788108,0.001837995,0.0001032647,0.006168313,0.0001670223,0.00008724013,0.0000482798],"genre_scores_gemma":[0.9982786,0.0001271705,0.0001808602,0.0003774891,0.00005067982,0.000867374,0.0001087482,0.000008237175,8.888348e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2722587,"threshold_uncertainty_score":0.5721123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975618096725076,"score_gpt":0.3251792878167205,"score_spread":0.3054231068494697,"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."}}