{"id":"W2041070451","doi":"10.3357/asem.2560.2009","title":"Prevention of Spread of Communicable Disease by Air Travel","year":2009,"lang":"en","type":"article","venue":"Aviation Space and Environmental Medicine","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Civil Aviation Organization","funders":"H2020 European Research Council; World Health Organization","keywords":"Preparedness; Communicable disease; Aviation; Business; Air travel; Public health; Pandemic; Transmission (telecommunications); Government (linguistics); Airport security; Disease; Environmental health; Transport engineering; Environmental planning; Risk analysis (engineering); Infectious disease (medical specialty); Medicine; Coronavirus disease 2019 (COVID-19); Computer security; Engineering; Political science; Geography; Computer science; 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":[0.0006726492,0.0005042467,0.0004696234,0.000739612,0.0002623694,0.0008161433,0.0004934003,0.0005668714,0.00387252],"category_scores_gemma":[0.003746412,0.0001437809,0.0006022161,0.0004322935,0.0006028946,0.001040661,0.0009167718,0.0004391295,0.000459928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003573731,"about_ca_system_score_gemma":0.000678047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004070658,"about_ca_topic_score_gemma":0.002161289,"domain_scores_codex":[0.9995291,0.0002685403,0.00002050797,0.00004235587,0.00006434424,0.00007520502],"domain_scores_gemma":[0.9990658,0.0004700513,0.0002703083,0.00005836046,0.00007521088,0.0000601912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007683243,0.002382087,0.1502932,0.004803472,0.001127829,0.001261103,0.001076297,0.1469083,0.01595049,0.179973,0.01024769,0.4852081],"study_design_scores_gemma":[0.0008289732,0.01054338,0.2729065,0.003019724,0.001247332,0.00380289,0.004345117,0.2843088,0.02018312,0.2949858,0.1036629,0.0001654991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7509241,0.02855825,0.129575,0.009510972,0.0003753675,0.0006051922,0.0008788593,0.0002699522,0.0793023],"genre_scores_gemma":[0.9775858,0.007959582,0.0103361,0.0002146608,0.0001057214,0.0001157924,0.0001406132,0.000008848268,0.003532899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004070658,"threshold_uncertainty_score":0.01295483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08213454410036353,"score_gpt":0.3615145454951866,"score_spread":0.2793800013948231,"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."}}