{"id":"W3204023892","doi":"10.3390/jrfm14100471","title":"Causality between Energy Consumption and Economic Growth in the Presence of Growth Volatility: Multi-Country Evidence","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Cointegration; Energy consumption; Energy intensity; Volatility (finance); Per capita; Real gross domestic product; Nexus (standard); Macroeconomics; Sustainability; Econometrics; Monetary economics","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":[0.001711049,0.0001479174,0.0004864951,0.0001981318,0.00007419113,0.00005467001,0.0002293918,0.00008313009,0.00002568577],"category_scores_gemma":[0.0002802703,0.0001449674,0.00007858768,0.0001107743,0.0001442969,0.0004113862,0.0001532519,0.0001967974,0.000003439698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001146959,"about_ca_system_score_gemma":0.00002235452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008080979,"about_ca_topic_score_gemma":0.00032373,"domain_scores_codex":[0.9983358,0.00009814879,0.001003412,0.0003132105,0.00005824236,0.0001911906],"domain_scores_gemma":[0.9985071,0.0002792171,0.0009135526,0.0002167536,0.00002391539,0.00005941563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002829945,0.00006754637,0.9089615,0.00009887441,0.0000339872,0.00001802694,0.0003192568,0.00004795437,0.000002915441,0.08699125,0.00007137246,0.00335901],"study_design_scores_gemma":[0.000783806,0.00005843068,0.9695885,0.00008136289,0.00004151869,0.0000100007,0.0001191136,0.0004600409,0.00007274402,0.02604468,0.002598954,0.0001408551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792027,0.007083833,0.01280232,0.0002164796,0.0002035716,0.0001014999,0.00008480125,0.000002638616,0.000302079],"genre_scores_gemma":[0.963191,0.03558843,0.0009788818,0.00009414356,0.00009895701,0.000006191958,0.000002694077,0.000009036408,0.00003067434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06094657,"threshold_uncertainty_score":0.59116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0298048873655688,"score_gpt":0.2273931082943163,"score_spread":0.1975882209287475,"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."}}