{"id":"W3125431043","doi":"","title":"Residential Electricity Pricing in Texas’s Competitive Retail Market","year":2020,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Prepayment of loan; Volatility (finance); Electricity retailing; Business; Market power; Sample (material); Electricity; Economics; Electricity market; Commission; Limit price; Price level; Commerce; Monetary economics; Microeconomics; Financial economics; Finance","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002756559,0.0004259644,0.0007656476,0.0009990116,0.0001364703,0.0001842296,0.001191041,0.00049171,0.0005959654],"category_scores_gemma":[0.001015448,0.0005015678,0.0002059363,0.0005069359,0.0002413758,0.0001171137,0.002396722,0.002837392,0.00003740259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00195213,"about_ca_system_score_gemma":0.0005673022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003267727,"about_ca_topic_score_gemma":0.01496054,"domain_scores_codex":[0.9949537,0.0009172136,0.0009713866,0.001493194,0.0004727253,0.0011918],"domain_scores_gemma":[0.9978238,0.0006775258,0.0002390007,0.0009653817,0.00009631158,0.0001979866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001825542,0.001087907,0.01390679,0.001340948,0.0005541823,0.001518272,0.001617242,0.4974872,0.0007008519,0.1488728,0.001598774,0.3294896],"study_design_scores_gemma":[0.006140824,0.0008124699,0.1878194,0.002434919,0.00009046501,0.00002179179,0.003434681,0.2909374,0.003846766,0.03370897,0.4665596,0.004192691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1459936,0.0001499401,0.00002192025,0.0009963999,0.0004408805,0.0007520549,0.00001515987,0.00009176617,0.8515382],"genre_scores_gemma":[0.9821489,0.00707468,0.0004839092,0.0002386575,0.0003226243,0.0001923222,0.00007586019,0.00009330986,0.009369741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8421685,"threshold_uncertainty_score":0.9997436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02681843692180228,"score_gpt":0.2837997114598761,"score_spread":0.2569812745380738,"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."}}