{"id":"W6976758573","doi":"10.60692/cng59-93h20","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":"Greater South Information System","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services","funders":"","keywords":"Vietnamese; Government (linguistics); Public health; Disease; Position (finance); Transmission (telecommunications)","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":[0.003437707,0.0002753731,0.0005632725,0.000434188,0.001208909,0.002118581,0.0008171273,0.001741724,0.003650434],"category_scores_gemma":[0.01001778,0.0003283,0.0003430958,0.0006057838,0.001059268,0.002594884,0.0008513745,0.001851916,0.0006062051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002455665,"about_ca_system_score_gemma":0.005615394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1108385,"about_ca_topic_score_gemma":0.1663014,"domain_scores_codex":[0.9986765,0.0005187034,0.0001375861,0.0002095969,0.0001618827,0.0002956489],"domain_scores_gemma":[0.9940463,0.001169785,0.001034121,0.0002956994,0.001507184,0.001946826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000778808,0.0009672634,0.7865683,0.001806422,0.0001760283,0.007038079,0.02589681,0.0001155163,0.0008770201,0.002101663,0.0471394,0.1265347],"study_design_scores_gemma":[0.0001800483,0.002888309,0.7705292,0.008201986,0.0002024515,0.005304761,0.1175395,0.0003815387,0.0004920858,0.003353053,0.0907592,0.000167995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8174963,0.02378174,0.0007127503,0.1384377,0.002774214,0.0002543514,0.0025965,0.00003730024,0.01390918],"genre_scores_gemma":[0.9467056,0.02042191,0.001009993,0.02358733,0.001333373,0.0001098059,0.001775075,0.00003160565,0.005025292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1108385,"threshold_uncertainty_score":0.2203867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4243088135860558,"score_gpt":0.3684601511032624,"score_spread":0.05584866248279341,"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."}}