{"id":"W2218899712","doi":"10.5539/ijef.v8n1p229","title":"The Impact of Export Volume and GDP on USA’s Civil Aviation in Between 1980-2012","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Civil aviation; Cointegration; Aviation; Order (exchange); Johansen test; Test (biology); Volume (thermodynamics); Economics; Dimension (graph theory); Econometrics; Real gross domestic product; Error correction model; Mathematics; Engineering; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008382736,0.0001025783,0.0003195168,0.0002086394,0.0000293506,0.00006674488,0.0002356665,0.00006454246,0.000006727095],"category_scores_gemma":[0.0001084721,0.00009113747,0.00009425534,0.00003731275,0.00008221305,0.0004288613,0.00004967375,0.0001427878,0.00001703013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001798489,"about_ca_system_score_gemma":0.00005485241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002628942,"about_ca_topic_score_gemma":0.0001115346,"domain_scores_codex":[0.9988533,0.000009414232,0.0008364292,0.0001402255,0.00002231738,0.0001383323],"domain_scores_gemma":[0.9987764,0.00008793562,0.0009184227,0.00009967263,0.00005795784,0.00005963943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001623688,0.00005858623,0.7488575,0.000002861683,0.0001235033,0.00000313502,0.0004488747,0.002012212,0.000001012209,0.2415175,0.001605972,0.005206489],"study_design_scores_gemma":[0.0009925108,0.0002542386,0.7569382,0.00002151792,0.000002570364,0.00002000316,0.00002817408,0.00419676,0.00001302139,0.2247063,0.01271193,0.0001147788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912485,0.0008495926,0.00004034097,0.001196094,0.0004754787,0.00004843839,0.000119812,7.390427e-7,0.00602104],"genre_scores_gemma":[0.9973632,0.001899673,0.00006300909,0.0000579613,0.0003799366,0.000001749201,0.000002888599,0.000008781893,0.00022279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0168112,"threshold_uncertainty_score":0.3716478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04787035472442527,"score_gpt":0.2617099940633586,"score_spread":0.2138396393389333,"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."}}