{"id":"W2739219550","doi":"10.4236/me.2017.87066","title":"Convergence of Energy Intensity in OECD Countries","year":2017,"lang":"en","type":"article","venue":"Modern Economy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Energy consumption; Energy intensity; Geography; Economy; Consumption (sociology); Unit (ring theory); Unit root; Economics; Economic growth; Econometrics; Engineering; Sociology","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":[0.0003845163,0.0001955994,0.0006430318,0.000184006,0.0001262445,0.00007985422,0.0006643888,0.0001276027,0.0008149352],"category_scores_gemma":[0.00002927419,0.0002673343,0.0001135818,0.00001607234,0.0002929337,0.0006524568,0.0002405599,0.0001087182,0.0005112524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997267,"about_ca_system_score_gemma":0.00002304425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001498519,"about_ca_topic_score_gemma":0.0005139065,"domain_scores_codex":[0.9982781,0.000006829556,0.000809882,0.0005484176,0.0000175061,0.0003393002],"domain_scores_gemma":[0.9979223,0.00002639041,0.0009071433,0.001047731,0.00001353657,0.00008291885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000209929,0.0000552574,0.697435,0.00002080144,0.0000409956,0.000003514069,0.0001685135,0.0004940875,0.00001357004,0.3011714,0.0002159875,0.0003599233],"study_design_scores_gemma":[0.001488986,0.00006126591,0.5046592,0.00002375859,0.000006904884,0.000005697547,0.00005007125,0.02727867,0.003403364,0.3681348,0.09418704,0.0007001805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8508584,0.0007256745,0.004940252,0.0006546561,0.0004733053,0.0001065317,0.00007986485,0.0000201837,0.1421411],"genre_scores_gemma":[0.9975173,0.0003552255,0.0002423517,0.0003858484,0.00006013716,0.00002934441,0.000009156576,0.00002952242,0.001371082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1927757,"threshold_uncertainty_score":0.9999779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02453282258450679,"score_gpt":0.1978622479048947,"score_spread":0.1733294253203879,"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."}}