{"id":"W3007989190","doi":"10.1017/s0950268820000424","title":"Passengers' destinations from China: low risk of Novel Coronavirus (2019-nCoV) transmission into Africa and South America","year":2020,"lang":"en","type":"article","venue":"Epidemiology and Infection","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; European and Developing Countries Clinical Trials Partnership; European Commission; National Institute for Health and Care Research","keywords":"Beijing; China; Coronavirus disease 2019 (COVID-19); Geography; Transmission (telecommunications); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Index (typography); Demography; Socioeconomics; Destinations; Pandemic; Environmental health; Medicine; Tourism; Telecommunications; Disease; Economics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005246978,0.0003989089,0.0002077872,0.0007483556,0.000290416,0.000510184,0.0003143855,0.0002079912,0.0007410012],"category_scores_gemma":[0.001275833,0.0001892601,0.0005507935,0.001053833,0.0001868588,0.0003850818,0.0004940903,0.0002091709,0.0001254851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007158407,"about_ca_system_score_gemma":0.0007620535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09503378,"about_ca_topic_score_gemma":0.08257477,"domain_scores_codex":[0.9997601,0.00004651719,0.00002333675,0.00007793701,0.00003347927,0.00005857198],"domain_scores_gemma":[0.999447,0.00008592565,0.0002229954,0.00006308677,0.00009640595,0.00008445147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002939218,0.000008885796,0.9957,0.000009600381,0.00004476724,0.00007400711,0.00007515313,0.001927879,0.000170689,0.00004961708,0.000209372,0.001700685],"study_design_scores_gemma":[0.000005942525,0.00002166421,0.9863049,0.000007708835,0.00003005361,0.00006094287,0.000169624,0.01264498,0.0001478938,0.00006674403,0.0005315527,0.000007928185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984447,0.00004069064,0.0002654026,0.00003049431,0.000002094454,0.000007494378,0.001003175,0.000008032323,0.0001978731],"genre_scores_gemma":[0.9974083,0.00003801501,0.0002353394,0.000008950771,0.000003018168,0.000009173962,0.00216184,0.000002001904,0.0001333563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09503378,"threshold_uncertainty_score":0.1889612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1790141222504666,"score_gpt":0.3868466666458162,"score_spread":0.2078325443953496,"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."}}