{"id":"W1591415473","doi":"10.1111/1759-3441.12103","title":"A Panel Data Analysis of the Demand for Electricity in Canada","year":2015,"lang":"en","type":"article","venue":"Economic Papers A journal of applied economics and policy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Per capita; Electricity; Economics; Panel data; Econometrics; Consumption (sociology); Error correction model; Ordinary least squares; Real gross domestic product; Gross domestic product; Causality (physics); Panel analysis; Agricultural economics; Cointegration; Macroeconomics; Engineering; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003726313,0.0002680204,0.000400096,0.001485858,0.001324172,0.001046493,0.0005611407,0.0003510699,0.004436157],"category_scores_gemma":[0.001563776,0.0002399924,0.0006996821,0.00553227,0.0002824689,0.000258741,0.0004277136,0.0007400894,0.0004852347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01802308,"about_ca_system_score_gemma":0.01884538,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944885,"about_ca_topic_score_gemma":0.9944056,"domain_scores_codex":[0.9995834,0.00003927804,0.00001521958,0.00005608817,0.0001661834,0.0001396875],"domain_scores_gemma":[0.9985876,0.0002322423,0.0001544458,0.00006482483,0.0007940732,0.0001668194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003446818,0.0003114808,0.8803099,0.0001502987,0.0005407205,0.0008514295,0.001167869,0.0407841,0.001543455,0.005358703,0.03861608,0.03002131],"study_design_scores_gemma":[0.00002823241,0.00004166182,0.9518098,0.00003326839,0.0001117615,0.00007526647,0.001944027,0.03161733,0.000558689,0.0003885211,0.01333238,0.00005899204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413996,0.00051642,0.000883485,0.0008876037,0.00002698606,0.00005967566,0.04911632,0.00005275925,0.007057161],"genre_scores_gemma":[0.947515,0.0006361232,0.001146121,0.0001316703,0.00001402134,0.00003796232,0.04281254,0.00001409727,0.00769252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01802308,"threshold_uncertainty_score":0.1307672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03417252970726182,"score_gpt":0.2151896951052837,"score_spread":0.1810171653980219,"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."}}