{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002767638,0.00008170898,0.0002849365,0.00002054692,0.0000359155,4.669028e-7,0.00005560978,0.00003263661,0.00008514654],"category_scores_gemma":[0.0003312204,0.00006006087,0.00003207353,0.00003828863,0.0001656515,0.00004343003,0.00003353672,0.0000500498,0.000001237614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002797816,"about_ca_system_score_gemma":0.000002235686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005389592,"about_ca_topic_score_gemma":0.000002922703,"domain_scores_codex":[0.999326,0.00006411988,0.0002709407,0.0001046532,0.0001549323,0.00007933477],"domain_scores_gemma":[0.9991909,0.0003847864,0.0001930463,0.0001707081,0.000003697834,0.00005684959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007818439,0.004129149,0.5451704,0.0008511972,0.0002887629,0.000005311761,0.005954387,0.00004986957,0.2402521,0.04743577,0.06868062,0.08640062],"study_design_scores_gemma":[0.001530528,0.0009529367,0.9076234,0.0002397251,0.0001763724,7.002835e-7,0.0013194,0.0003083899,0.002621847,0.08390602,0.001185313,0.0001353901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795804,0.002355098,0.004774046,0.01221191,0.00001956131,0.0003025903,0.00002896678,0.00001432581,0.0007130785],"genre_scores_gemma":[0.9973574,0.001380718,0.0004461661,0.0003689409,0.00001412862,0.00000429455,0.00003368923,0.00000353958,0.0003911252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.362453,"threshold_uncertainty_score":0.2449211,"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."}}