{"id":"W4221006047","doi":"10.1016/j.tej.2022.107109","title":"Do gentailers charge higher residential electricity prices in the Texas retail electricity market?","year":2022,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Electricity; Electricity retailing; Competition (biology); Business; Electricity market; Electricity pricing; Market power; Retail market; Industrial organization; Commerce; Marketing; Microeconomics; Economics; Engineering; Electrical engineering","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":[0.000505105,0.00008688025,0.0002465547,0.000311877,0.0004893456,0.001925252,0.0004816068,0.001235829,0.01549151],"category_scores_gemma":[0.00325998,0.0001839253,0.00027266,0.0005440335,0.0006605236,0.001435718,0.0003797129,0.001096443,0.001348396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007663008,"about_ca_system_score_gemma":0.0004284972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0242672,"about_ca_topic_score_gemma":0.04867982,"domain_scores_codex":[0.9996955,0.00007533649,0.00001007935,0.00004268748,0.00004085904,0.0001354],"domain_scores_gemma":[0.9967847,0.0009350837,0.001481185,0.00008590164,0.0002328951,0.0004802346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001131415,0.0006752134,0.9640589,0.00004295145,0.00009568967,0.0005464062,0.001546272,0.0005878388,0.0004859513,0.009299138,0.009348198,0.01218202],"study_design_scores_gemma":[0.0001186101,0.000133625,0.9768102,0.00002126605,0.0000608319,0.0002217544,0.01199736,0.0032394,0.0002953446,0.002715107,0.004363766,0.0000227333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925262,0.00012773,0.00005122347,0.002386479,0.00002416447,0.000004879721,0.0001465931,0.000003427496,0.004729276],"genre_scores_gemma":[0.9980437,0.00005947638,0.00001357775,0.0002565945,0.00003264633,0.000001110719,0.00009398489,0.00000236616,0.001496648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0242672,"threshold_uncertainty_score":0.05182427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02870049609125515,"score_gpt":0.2186858013558014,"score_spread":0.1899853052645462,"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."}}