{"id":"W4382068218","doi":"10.1177/0958305x231159437","title":"The dynamic relationship between military expenditure, environmental pollution, and economic growth in G7 countries: A wavelet analysis approach","year":2023,"lang":"en","type":"article","venue":"Energy & Environment","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kuznets curve; Causality (physics); Granger causality; Economics; Environmental pollution; Pollution; Development economics; Macroeconomics; Econometrics; Geography; Environmental protection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001019594,0.0004090008,0.0006457874,0.0006688642,0.0004183907,0.0000600585,0.0004304537,0.0002365436,0.0002755062],"category_scores_gemma":[0.00002480107,0.0004442261,0.0002328112,0.0002443359,0.0004164772,0.0003113917,0.0002464965,0.0002536101,0.0007160737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198808,"about_ca_system_score_gemma":0.00001319031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281887,"about_ca_topic_score_gemma":0.0003096394,"domain_scores_codex":[0.9968372,0.00009970446,0.001143734,0.001131927,0.0001002565,0.0006871758],"domain_scores_gemma":[0.9983713,0.0002981345,0.0003714502,0.0007740801,7.684124e-7,0.0001842585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001498593,0.00005872494,0.9116905,0.000008374541,0.000414196,0.00000473393,0.0002893628,0.03854075,0.000004249731,0.04857875,0.0001766343,0.0002187466],"study_design_scores_gemma":[0.0006173075,0.00003700224,0.9378132,0.000002940975,0.00006722454,0.00000232358,0.0002953937,0.03411585,0.00001426916,0.01474363,0.01183214,0.0004587343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890839,0.004118484,0.002962832,0.001069528,0.0001504678,0.0002490481,0.0006052839,0.00005808913,0.001702375],"genre_scores_gemma":[0.9882538,0.008606195,0.0004161858,0.0001497518,0.00009685369,0.0001630563,0.0007949084,0.00005885333,0.001460447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03383511,"threshold_uncertainty_score":0.999801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139245693088203,"score_gpt":0.1883484339124046,"score_spread":0.1744238646035843,"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."}}