{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01007949,0.0008060586,0.0006018529,0.002411715,0.0009202544,0.001517839,0.0009166158,0.0005710949,0.001528975],"category_scores_gemma":[0.0180209,0.0003560942,0.0006010343,0.00165023,0.0005561726,0.002724066,0.001499236,0.0004450534,0.0002896274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688471,"about_ca_system_score_gemma":0.003219491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01435082,"about_ca_topic_score_gemma":0.01285741,"domain_scores_codex":[0.9971239,0.001380121,0.0003965998,0.0003766046,0.0004974586,0.0002252004],"domain_scores_gemma":[0.9896248,0.005943419,0.0005208416,0.0006757148,0.002475912,0.0007593593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00111935,0.002790748,0.3885408,0.002834389,0.0003122702,0.001280708,0.05369072,0.002395171,0.02076389,0.0008620589,0.01030819,0.5151017],"study_design_scores_gemma":[0.000496246,0.007346984,0.8494896,0.0008872505,0.0008454681,0.0007735884,0.04061399,0.05192386,0.01460717,0.0007109528,0.03189126,0.0004136843],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940612,0.0001492353,0.0028669,0.0001911875,0.00001383975,0.0006431016,0.000274424,0.0004457282,0.001354395],"genre_scores_gemma":[0.9692246,0.0003649658,0.02701843,0.0001621156,0.0000140333,0.0006396888,0.001036349,0.0000919782,0.001447906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01435082,"threshold_uncertainty_score":0.05330604,"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."}}