{"id":"W1788069958","doi":"10.1016/j.eneco.2015.10.004","title":"Convergence and persistence in per capita energy use among OECD countries: Revisited using confidence intervals","year":2015,"lang":"en","type":"article","venue":"Energy Economics","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Employment and Social Development Canada","funders":"","keywords":"Per capita; Unit root; Confidence interval; Convergence (economics); Persistence (discontinuity); Geography; Econometrics; Statistics; Demography; Unit root test; Economics; Mathematics; Cointegration; Economic growth; Population; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008266197,0.0004399994,0.000906359,0.0004532688,0.0001044638,0.0002723374,0.0005140029,0.000278538,0.0006354332],"category_scores_gemma":[0.0001043334,0.0006015224,0.0001379405,0.00008398887,0.0004413839,0.001616652,0.0003130839,0.0001828882,0.0001638194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009290555,"about_ca_system_score_gemma":0.00007333531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008451338,"about_ca_topic_score_gemma":0.002015808,"domain_scores_codex":[0.9967366,0.00006507058,0.001358953,0.001156449,0.00004272264,0.0006401831],"domain_scores_gemma":[0.9978377,0.0001525368,0.0008093748,0.0007787508,0.00003506858,0.0003866191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003925385,0.00005309921,0.6289668,0.00002025898,0.00008622539,0.00001328105,0.0007402622,0.006596614,0.00002092768,0.3630682,0.0003087819,0.00008631805],"study_design_scores_gemma":[0.004785463,0.0003251613,0.08397726,0.0001914899,0.00006821562,0.0001262831,0.002549302,0.553508,0.001482254,0.06785869,0.2812,0.003927964],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882248,0.00319673,0.003638479,0.0001783394,0.00060456,0.0001014208,0.0001338083,0.00004235113,0.003879481],"genre_scores_gemma":[0.9915194,0.004683505,0.001011204,0.0009975981,0.0001291059,0.00003294794,0.00003724091,0.00008148196,0.001507527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5469114,"threshold_uncertainty_score":0.9996436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05494582528801954,"score_gpt":0.2092437072360602,"score_spread":0.1542978819480407,"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."}}