{"id":"W2094869960","doi":"10.1007/s00168-014-0651-z","title":"Up in the air: the role of airports for regional economic development","year":2014,"lang":"en","type":"article","venue":"The Annals of Regional Science","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":91,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Per capita; Regional development; Scale (ratio); Economic geography; Regional science; Air transport; Geography; Economic growth; Business; Transport engineering; Economics; Engineering; Demography; Cartography","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":[0.003767517,0.00006996608,0.0001696194,0.0001129095,0.0002383812,0.00002001372,0.0008317298,0.00002949102,0.00003282918],"category_scores_gemma":[0.00008438432,0.0000397717,0.0001091392,0.0003147346,0.000490789,0.0001377908,0.00004732431,0.00007066887,0.00001669621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001827296,"about_ca_system_score_gemma":0.00009308793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000101216,"about_ca_topic_score_gemma":0.00005267441,"domain_scores_codex":[0.9990533,0.0000226137,0.0004486968,0.0001951384,0.0001015078,0.0001787581],"domain_scores_gemma":[0.9988376,0.0002510202,0.0005037901,0.000321857,0.0000605626,0.00002513719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001498343,0.00003288358,0.01984351,0.000003093416,0.00001867478,3.802509e-8,0.001174738,0.001543871,0.000009326165,0.9700872,0.003149616,0.004122006],"study_design_scores_gemma":[0.0001921636,0.00004955192,0.2564886,0.00001578353,0.000004712894,0.000004125641,0.0006367529,0.005155558,0.0007185838,0.2021713,0.5344357,0.0001271172],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9302988,0.0008824243,0.0007575459,0.05500505,0.0001460466,0.0002498932,0.00002443567,0.000005804599,0.01263001],"genre_scores_gemma":[0.9983823,0.00004590967,0.00008883736,0.001115943,0.00005974403,0.00002487442,0.000003043806,0.000002909327,0.0002763929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7679159,"threshold_uncertainty_score":0.1833459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1403176282855392,"score_gpt":0.3044756681643687,"score_spread":0.1641580398788295,"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."}}