{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005182429,0.000137352,0.0001828845,0.0005514564,0.0006019208,0.001391707,0.0004820252,0.0004108358,0.004761647],"category_scores_gemma":[0.001612009,0.0001578311,0.0001661398,0.001292601,0.000370224,0.0008472359,0.0005703828,0.0006893888,0.0006759521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369644,"about_ca_system_score_gemma":0.0005047839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.049721,"about_ca_topic_score_gemma":0.06286975,"domain_scores_codex":[0.9996786,0.00008810947,0.00001046256,0.00006528698,0.00005621566,0.0001012588],"domain_scores_gemma":[0.9981686,0.0005532188,0.0006145413,0.0001094047,0.0002728363,0.00028139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008047836,0.001197365,0.9442328,0.00002931978,0.00007997108,0.0009311154,0.0016524,0.0108384,0.0006225639,0.006040153,0.02163671,0.01193437],"study_design_scores_gemma":[0.00006181582,0.0001956706,0.9457899,0.00001326436,0.00003043266,0.0002138019,0.004795135,0.04209632,0.0004723693,0.00103452,0.005266174,0.00003060309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976659,0.0000182699,0.00007020593,0.0001808915,0.000002270236,0.000005884861,0.0004136752,0.000005431852,0.001637486],"genre_scores_gemma":[0.9980021,0.00002262198,0.00008237337,0.00004754982,0.0000102751,0.000005718799,0.0008007791,0.000003367209,0.001025308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.049721,"threshold_uncertainty_score":0.09886318,"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."}}