{"id":"W2980645258","doi":"10.3386/w26385","title":"The Electric Gini: Income Redistribution through Energy Prices","year":2019,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health; University of Alberta","funders":"","keywords":"Redistribution (election); Redistribution of income and wealth; Gini coefficient; Economics; Income distribution; Inequality; Econometrics; Economic inequality; Microeconomics; Mathematics; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.003337481,0.0002401438,0.0003656538,0.0004878515,0.0001672027,0.0001054465,0.0008136674,0.0003261117,0.0001047514],"category_scores_gemma":[0.0004397694,0.0002099022,0.0001534862,0.0004030513,0.0001075703,0.0001910534,0.0002133269,0.0006295297,0.0001608293],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004363377,"about_ca_system_score_gemma":0.001345698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000951394,"about_ca_topic_score_gemma":0.0001351061,"domain_scores_codex":[0.9965738,0.00008759679,0.0006900515,0.0003774985,0.001732297,0.0005387759],"domain_scores_gemma":[0.9974017,0.0009163725,0.0001850337,0.0005046949,0.0009400691,0.00005219479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001869884,0.00001968377,0.00006731359,0.0002170003,0.0005011099,0.00000234735,0.00001045918,0.06783848,0.00007420571,0.5706957,0.3581568,0.002398188],"study_design_scores_gemma":[0.0002377246,0.00006704956,0.000823243,0.00007648052,0.000017578,0.00001035851,0.00001365128,0.02292349,0.0008551444,0.1079606,0.8667294,0.000285196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0005516646,0.004394765,0.0003378918,0.0003076609,0.002620321,0.0003246254,0.00006198379,0.00008541137,0.9913157],"genre_scores_gemma":[0.9523908,0.02655855,0.0001062666,0.00001245729,0.003470424,0.0003698574,0.001385037,0.0001384442,0.01556816],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9757475,"threshold_uncertainty_score":0.9994587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1651413984597661,"score_gpt":0.4343384867985686,"score_spread":0.2691970883388024,"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."}}