{"id":"W4402976639","doi":"10.1016/j.team.2024.09.006","title":"On the relationship between air connectivity and economic development: A comparative analysis of inequality evolution for 2000–2019","year":2024,"lang":"en","type":"article","venue":"Transport Economics and Management","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Inequality; Economic geography; Geography; Economics; Econometrics; Mathematics","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":[0.0007846055,0.0001271743,0.000426861,0.0004101061,0.0001390856,0.00003338746,0.00007487622,0.0000605721,0.00004749807],"category_scores_gemma":[0.000004664957,0.0001219058,0.0001338158,0.0002016328,0.00005432559,0.0001349551,0.00001464232,0.00007249567,0.00001403522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001396591,"about_ca_system_score_gemma":0.00001945676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001287311,"about_ca_topic_score_gemma":0.0003681848,"domain_scores_codex":[0.9988769,0.00001172043,0.0006030368,0.0003742579,0.0000129619,0.0001210791],"domain_scores_gemma":[0.9992204,0.0003492157,0.0002102128,0.0001718278,0.000008149228,0.00004020555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000009724157,0.00001436757,0.3016194,0.00003673904,0.001215196,1.023092e-7,0.0003495386,0.002612712,2.646163e-8,0.6938986,0.00006326172,0.0001803159],"study_design_scores_gemma":[0.0002171402,0.00002381588,0.9435684,0.00001159451,0.0003571778,7.709463e-8,0.00009676475,0.01337095,0.000003259066,0.03453517,0.007677545,0.0001381055],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773611,0.0004116934,0.01733446,0.0008722505,0.00006136464,0.0002740947,0.000775248,0.0000139453,0.002895885],"genre_scores_gemma":[0.9989195,0.00009822027,0.0001507779,0.00003707507,0.00002029486,0.00005920319,0.0002129602,0.000006856305,0.0004950392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6593634,"threshold_uncertainty_score":0.4971174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09369758023485265,"score_gpt":0.2765651936441487,"score_spread":0.1828676134092961,"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."}}