{"id":"W3100710369","doi":"10.3855/jidc.13080","title":"No new community COVID-19 infection in four consecutive weeks: what lesson can be learned from Vietnam","year":2020,"lang":"en","type":"article","venue":"The Journal of Infection in Developing Countries","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health; Alberta Health Services","funders":"","keywords":"Vietnamese; Quarantine; Outbreak; Coronavirus disease 2019 (COVID-19); Government (linguistics); China; Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Transmission (telecommunications); Public health; Intensive care medicine; Disease; Environmental health; Economic growth; Political science; Virology; Infectious disease (medical specialty); Internal medicine; Pathology; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002718744,0.0002776763,0.0005480118,0.0004034402,0.001248723,0.002062051,0.0008307406,0.001815621,0.003354319],"category_scores_gemma":[0.008358228,0.0003150552,0.0003053934,0.000506451,0.00111144,0.002504753,0.000753158,0.001777924,0.0005955049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002041593,"about_ca_system_score_gemma":0.004710475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08010013,"about_ca_topic_score_gemma":0.1134484,"domain_scores_codex":[0.9988993,0.0003832741,0.0001173823,0.0001874426,0.0001525798,0.0002599285],"domain_scores_gemma":[0.9951911,0.000847547,0.0007767037,0.0002262881,0.001275933,0.001682378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009754276,0.001345519,0.7636127,0.00187137,0.0001657515,0.01190386,0.02930091,0.0001183877,0.001375508,0.002441656,0.04532802,0.1415609],"study_design_scores_gemma":[0.0001933874,0.003850293,0.7417741,0.007434131,0.0001921772,0.009952107,0.1303379,0.0004103212,0.0006891054,0.003993753,0.1009824,0.0001904342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8517391,0.02193552,0.0007071579,0.1085983,0.00283928,0.0002258504,0.001671343,0.00003631172,0.01224722],"genre_scores_gemma":[0.9508635,0.0201504,0.0008812572,0.0199826,0.00148633,0.00008060104,0.001374959,0.00002889617,0.005151429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08010013,"threshold_uncertainty_score":0.1592678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3166854678976559,"score_gpt":0.4185012586796894,"score_spread":0.1018157907820335,"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."}}