{"id":"W4388090362","doi":"10.9734/ajeba/2023/v23i221143","title":"Analysis of Factors Influencing Energy Intensity in G20 Countries","year":2023,"lang":"en","type":"article","venue":"Asian Journal of Economics Business and Accounting","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Energy intensity; Foreign direct investment; Panel data; Gross domestic product; Productivity; Descriptive statistics; Population; European union; Investment (military); Economics; International trade; International economics; Geography; Energy (signal processing); Business; Economic growth; Econometrics; Demography; Macroeconomics; Political science; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003813437,0.0003223455,0.0001916188,0.001609108,0.0002918065,0.0008587406,0.0001868807,0.0002681515,0.002922478],"category_scores_gemma":[0.001074935,0.000119895,0.0005898634,0.003227575,0.0003065781,0.0005374608,0.0007189675,0.0003167197,0.0003748049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006130069,"about_ca_system_score_gemma":0.000493537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01058078,"about_ca_topic_score_gemma":0.01235846,"domain_scores_codex":[0.9997053,0.00005043418,0.00003881236,0.00005076405,0.00006412504,0.00009057589],"domain_scores_gemma":[0.9990523,0.0001580799,0.0004730699,0.00005660272,0.0001669164,0.00009294065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000339261,0.0000355728,0.9897502,0.00009249288,0.00007886182,0.0002074911,0.0003636033,0.000967154,0.0003690819,0.0007299995,0.0004677248,0.006903937],"study_design_scores_gemma":[0.000001282286,0.00001690824,0.9963767,0.0000333942,0.00001975568,0.0000572101,0.001147348,0.0002614063,0.0001772181,0.0001227363,0.001781638,0.000004334369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914716,0.0004966353,0.0002849848,0.0001715617,0.000006271056,0.00002523443,0.001416327,0.000008952401,0.006118508],"genre_scores_gemma":[0.9975199,0.000416615,0.0002170513,0.00003507957,0.000005575377,0.00001210422,0.001314947,0.000004343889,0.000474366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01058078,"threshold_uncertainty_score":0.02103835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01123154061645304,"score_gpt":0.2034070342533819,"score_spread":0.1921754936369289,"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."}}