{"id":"W3011999140","doi":"10.1073/pnas.2002616117","title":"Impact of international travel and border control measures on the global spread of the novel 2019 coronavirus outbreak","year":2020,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":601,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Institute of General Medical Sciences; National Institutes of Health; National Institute of Allergy and Infectious Diseases; Notsew Orm Sands Foundation","keywords":"Outbreak; Mainland China; China; Geography; Exportation; Coronavirus disease 2019 (COVID-19); Mainland; Coronavirus; Government (linguistics); Public health; Socioeconomics; Environmental health; Medicine; Virology; Economics; Disease; Infectious disease (medical specialty)","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":[0.001930657,0.0005105652,0.0002891997,0.0004683843,0.0002178815,0.000670554,0.000335743,0.0003338312,0.001278112],"category_scores_gemma":[0.004713895,0.0001010062,0.001025369,0.0004790184,0.000466182,0.0007552638,0.001048049,0.0005051442,0.0001121177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023452,"about_ca_system_score_gemma":0.001391415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02765101,"about_ca_topic_score_gemma":0.02152416,"domain_scores_codex":[0.9986379,0.0005536905,0.0001146777,0.000166378,0.0002459125,0.0002814573],"domain_scores_gemma":[0.997941,0.0003989723,0.001008755,0.0001753717,0.0002141482,0.0002617001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006468567,0.0003797191,0.923127,0.0002269479,0.0008335859,0.0005891773,0.0002848479,0.02702789,0.001228928,0.001346711,0.0009216811,0.0433869],"study_design_scores_gemma":[0.00003400438,0.0008908444,0.9831684,0.00008799323,0.0002411257,0.0001677412,0.0006018974,0.01170489,0.0006885928,0.0002947093,0.002095292,0.00002450569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936696,0.001100234,0.0008335652,0.0004298916,0.00004120898,0.00004448968,0.0003896826,0.00002266901,0.003468662],"genre_scores_gemma":[0.9989308,0.0002607767,0.0001879254,0.00007800644,0.00001251979,0.00001016243,0.0003199789,0.00000295085,0.0001969069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02765101,"threshold_uncertainty_score":0.05498016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2713106791529801,"score_gpt":0.450957472066239,"score_spread":0.179646792913259,"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."}}