{"id":"W2063627385","doi":"10.1080/15567240903502586","title":"Energy Consumption and GDP: The Strong Relationship in OECD Countries","year":2013,"lang":"en","type":"article","venue":"Energy Sources Part B Economics Planning and Policy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Energy consumption; Ordinary least squares; Economics; Relation (database); Economy; Value (mathematics); Geography; Econometrics; Development economics; Statistics; Mathematics; Sociology; Engineering","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":[0.0009727042,0.0002782388,0.0002986698,0.002216918,0.0002028186,0.001205312,0.0001156101,0.0001947362,0.001544901],"category_scores_gemma":[0.002959817,0.0001002044,0.0003571129,0.004546515,0.000458172,0.0005956284,0.0008880998,0.0003767451,0.0002760468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007084612,"about_ca_system_score_gemma":0.0004194481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01694676,"about_ca_topic_score_gemma":0.01564651,"domain_scores_codex":[0.9995964,0.0001196156,0.00003661708,0.00006910246,0.00008416585,0.00009418005],"domain_scores_gemma":[0.9976115,0.0008483691,0.0008490385,0.0001456209,0.0004454147,0.0001001626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000831197,0.00001673969,0.9809545,0.0000680704,0.0001747681,0.0003749337,0.0001808248,0.002002549,0.0001367933,0.002011183,0.001865987,0.01213062],"study_design_scores_gemma":[0.000003512426,0.00001585907,0.9929568,0.00006744745,0.00006014607,0.00009618954,0.0006606917,0.000547658,0.0002267989,0.0006718402,0.004685553,0.000007499373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765458,0.004351086,0.0004083595,0.0009687773,0.00003999453,0.000006673432,0.003323233,0.00002799045,0.01432807],"genre_scores_gemma":[0.9971504,0.00103053,0.00009749927,0.00004060751,0.00001906302,0.000004315886,0.0012018,0.0000045426,0.0004513954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01694676,"threshold_uncertainty_score":0.03369623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03152836164086025,"score_gpt":0.2229508335948251,"score_spread":0.1914224719539649,"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."}}