{"id":"W4293901556","doi":"10.1093/jtm/taac100","title":"Effect of flight connectivity on the introduction and evolution of the COVID-19 outbreak in Canadian provinces and territories","year":2022,"lang":"en","type":"article","venue":"Journal of Travel Medicine","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; International Centre for Infectious Diseases","funders":"Canada Research Chairs; Public Health Agency; Public Health Agency of Canada","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Outbreak; Public health; Population; Medicine; Socioeconomics; Geography; Demography; Air travel; Environmental health; Disease; Infectious disease (medical specialty); Virology; Aviation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001195915,0.0004166779,0.0004115578,0.001030105,0.002018607,0.001771591,0.001531584,0.0005383011,0.003631055],"category_scores_gemma":[0.007418781,0.0003097736,0.001140312,0.001660682,0.00102566,0.000659131,0.001320006,0.001017547,0.0002092245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03105641,"about_ca_system_score_gemma":0.03605097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9913321,"about_ca_topic_score_gemma":0.9905329,"domain_scores_codex":[0.998814,0.0001641907,0.00004651086,0.00017639,0.0002371858,0.0005617221],"domain_scores_gemma":[0.9964668,0.0005697923,0.0006166861,0.0001847724,0.001397044,0.0007650196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004654267,0.00005986359,0.9701626,0.00009625712,0.0002119672,0.0003134197,0.0007302788,0.01391444,0.0004450895,0.001048838,0.003485803,0.009066046],"study_design_scores_gemma":[0.00002007527,0.00005850217,0.979389,0.00006018185,0.00007168609,0.00009501945,0.002273016,0.01573404,0.0001503037,0.0001944002,0.001917259,0.00003650611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888713,0.0005241342,0.000407154,0.0009021991,0.00002157101,0.00005284638,0.005227168,0.00003825389,0.003955435],"genre_scores_gemma":[0.9974947,0.0002141625,0.0002297431,0.0000719853,0.000003263031,0.00001343876,0.001540026,0.000007799997,0.0004249331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03105641,"threshold_uncertainty_score":0.2253311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05934139046236038,"score_gpt":0.3562246619583953,"score_spread":0.2968832714960349,"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."}}