{"id":"W3124126468","doi":"10.3386/w18533","title":"Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing","year":2012,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Energy Efficiency and Management","field":"Energy","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"California Energy Commission; Resources for the Future","keywords":"Nonlinear pricing; Electricity; Economics; Econometrics; Marginal cost; Electricity pricing; Business; Microeconomics; Electricity market; Financial 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009415624,0.0003641221,0.0006791555,0.001648666,0.0002354149,0.0001205921,0.001090607,0.0004366115,0.004302672],"category_scores_gemma":[0.005587125,0.0003363206,0.0001930881,0.0007061061,0.0001735441,0.0003198801,0.0005297859,0.0009646654,0.0006833788],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003985257,"about_ca_system_score_gemma":0.004878069,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02174075,"about_ca_topic_score_gemma":0.001959062,"domain_scores_codex":[0.9938731,0.0004465478,0.001023799,0.000952714,0.002784258,0.0009196078],"domain_scores_gemma":[0.9929867,0.003952814,0.0004350166,0.000656656,0.001672736,0.0002960115],"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":[0.008522782,0.001713674,0.004780651,0.001879802,0.003462026,0.0002569792,0.001787872,0.1552583,0.006741606,0.438502,0.3014694,0.07562486],"study_design_scores_gemma":[0.0009949518,0.0005491872,0.00504913,0.001246115,0.00010012,0.00002883278,0.000114925,0.003390357,0.004067417,0.01452793,0.9688252,0.001105808],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04641223,0.00362741,0.0002947889,0.0009862317,0.001446829,0.00131748,0.0002012087,0.00007356503,0.9456403],"genre_scores_gemma":[0.901453,0.005332121,0.004320154,0.0001359858,0.002589797,0.0003044638,0.0005756195,0.0001399973,0.08514887],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8604914,"threshold_uncertainty_score":0.9999089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3689165027850592,"score_gpt":0.494182017951337,"score_spread":0.1252655151662779,"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."}}