{"id":"W2198099674","doi":"","title":"Market Power Indices and Wholesale Price Elasticity of Electricity Demand","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Electric Power System Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Price elasticity of demand; Lerner index; Economics; Market power; Electricity market; Wholesale market; Electricity; Elasticity (physics); Econometrics; Index (typography); Agricultural economics; Microeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002150664,0.000287572,0.0006159515,0.0007158347,0.00006016191,0.00008194856,0.0004347286,0.0004970538,0.00005387395],"category_scores_gemma":[0.0005790467,0.0003307749,0.00006964621,0.0002310854,0.0001326119,0.00009557122,0.0003779385,0.001184334,0.000002328264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006059575,"about_ca_system_score_gemma":0.0002047229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002699202,"about_ca_topic_score_gemma":0.00005268754,"domain_scores_codex":[0.9976432,0.0002763187,0.0006688129,0.0005504022,0.00024542,0.0006158457],"domain_scores_gemma":[0.9982819,0.0006851535,0.0001859706,0.0005679941,0.0001013263,0.000177632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002484136,0.0002496712,0.05221435,0.005058087,0.0006671921,0.00002816215,0.001397415,0.8828639,0.001341776,0.0003342255,0.001043752,0.05455309],"study_design_scores_gemma":[0.001006354,0.0002073092,0.055067,0.0005405533,0.00002966261,0.00002843105,0.00009673789,0.9349462,0.001856699,0.000664502,0.004675252,0.0008812947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8737043,0.0009283539,0.002388998,0.00003146235,0.0003263761,0.0008964193,0.00003859397,0.0001192334,0.1215662],"genre_scores_gemma":[0.9924979,0.006362455,0.0006516566,0.000008860548,0.00006129741,0.00007451246,0.00001531884,0.00006792476,0.0002601167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1213061,"threshold_uncertainty_score":0.9999144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008429493135086676,"score_gpt":0.2420122181858116,"score_spread":0.2335827250507249,"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."}}