{"id":"W4383822622","doi":"10.22533/at.ed.2163152304075","title":"Impacts of the Covid-19 Pandemic on the Efficiency of Brazilian Domestic Air Transportation","year":2023,"lang":"en","type":"article","venue":"Scientific Journal of Applied Social and Clinical Science","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Environmental science; Business; Virology; Medicine; Outbreak; 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":[0.002447367,0.0004109731,0.0003828238,0.001207687,0.0003581164,0.002063971,0.0003204311,0.0004242708,0.001598661],"category_scores_gemma":[0.00786263,0.0001410286,0.0006095928,0.001929995,0.0007154619,0.0009828503,0.001038511,0.000414314,0.0001801329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00296546,"about_ca_system_score_gemma":0.001889192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04415954,"about_ca_topic_score_gemma":0.0292528,"domain_scores_codex":[0.9984632,0.0006125206,0.00007815903,0.0001294248,0.0003846869,0.0003320519],"domain_scores_gemma":[0.9967819,0.001392708,0.0005712777,0.0002548529,0.0008935251,0.0001055723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003591412,0.0003065217,0.6925895,0.0006372913,0.0004804865,0.001472438,0.002399717,0.1178695,0.009235253,0.05207719,0.003374029,0.119199],"study_design_scores_gemma":[0.00001954583,0.0003430959,0.8517517,0.0003778473,0.0002113391,0.0004219284,0.007874801,0.09610937,0.005512591,0.01214517,0.0251565,0.00007608935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739904,0.001187446,0.004490001,0.001325353,0.00002110097,0.00005249134,0.0008139472,0.0000282877,0.01809099],"genre_scores_gemma":[0.9986021,0.0003641227,0.0004943674,0.00002290959,0.000004057248,0.00000743442,0.0001411263,0.00000723716,0.0003567741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04415954,"threshold_uncertainty_score":0.08780497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1094343801726892,"score_gpt":0.3633618472929181,"score_spread":0.253927467120229,"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."}}