{"id":"W4400150477","doi":"10.1016/j.tra.2024.104153","title":"What shapes international air transportation in Southern Africa? − The evidence considering the impact of Covid-19","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Air transport; Economic geography; Aeronautics; Virology; Engineering; Medicine; Outbreak","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":[0.0007418176,0.0002837749,0.0001655985,0.0007786571,0.001222668,0.002535925,0.0003668135,0.0006608876,0.01032572],"category_scores_gemma":[0.00352259,0.0001522875,0.0002615541,0.00248495,0.001859576,0.002135572,0.001328122,0.0007794411,0.0004825143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003725307,"about_ca_system_score_gemma":0.002910321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1126452,"about_ca_topic_score_gemma":0.1970003,"domain_scores_codex":[0.9992471,0.0002574697,0.0000261248,0.00007749171,0.00006338699,0.0003285037],"domain_scores_gemma":[0.9985612,0.000355511,0.0006499502,0.00006363817,0.0001536801,0.000216036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006159875,0.0001847517,0.7400622,0.0009329984,0.0002258833,0.001904761,0.03051963,0.004361429,0.00200015,0.1468409,0.01147232,0.06087888],"study_design_scores_gemma":[0.0000377291,0.0001310862,0.7924513,0.000935199,0.0001570522,0.00030029,0.1013965,0.001158916,0.0006658706,0.01469583,0.08803453,0.00003563215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.893385,0.005702431,0.0002778882,0.01302378,0.00008965804,0.00002687723,0.0006042964,0.00001090061,0.08687925],"genre_scores_gemma":[0.996268,0.001601451,0.00006003278,0.0002484837,0.00002028323,0.00000679823,0.00009582786,0.000005393621,0.001693819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1126452,"threshold_uncertainty_score":0.2239789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3213978076057439,"score_gpt":0.4680884180521651,"score_spread":0.1466906104464211,"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."}}