{"id":"W2035242084","doi":"10.5547/issn0195-6574-ej-vol32-no2-4","title":"Econometric Estimation of Spatial Patterns in Electricity Prices","year":2011,"lang":"en","type":"article","venue":"The Energy Journal","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Independent Electricity System Operator","funders":"","keywords":"Electricity; Econometrics; Electricity market; Context (archaeology); Econometric model; Estimation; Economics; Panel data; Spatial analysis; Representation (politics); Microeconomics; Statistics; Geography; Mathematics","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":[0.001308085,0.0001891562,0.0003512609,0.0008315567,0.0001516787,0.0006016114,0.0004134369,0.0004206153,0.002046888],"category_scores_gemma":[0.01382655,0.0002881371,0.0004491951,0.001764791,0.0002954209,0.0007872214,0.0005570652,0.000526224,0.000238645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000429329,"about_ca_system_score_gemma":0.0004003763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01201956,"about_ca_topic_score_gemma":0.009167119,"domain_scores_codex":[0.9994671,0.0003333625,0.00003159651,0.00007066219,0.00006324127,0.00003406244],"domain_scores_gemma":[0.993744,0.004966109,0.0005152946,0.0004662643,0.0002665689,0.0000418078],"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":[0.00005826005,0.0000576822,0.07481636,0.00004772228,0.0001363831,0.0001329939,0.0001299895,0.8307507,0.0007086259,0.03916685,0.0009534095,0.05304114],"study_design_scores_gemma":[0.000008914374,0.000009712481,0.0150118,0.000005998822,0.00001330747,0.00001683919,0.00009347999,0.9693316,0.0002513022,0.01473731,0.0005121614,0.000007542054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6955654,0.0003124012,0.2974907,0.0006779713,0.00001921112,0.00003529407,0.001403621,0.0002143039,0.004281166],"genre_scores_gemma":[0.9744549,0.0002011873,0.02364907,0.00001698482,0.00001380577,0.00002357079,0.0008285804,0.00001250191,0.0007993283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01201956,"threshold_uncertainty_score":0.0238992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04168558787414366,"score_gpt":0.2011886864906299,"score_spread":0.1595030986164863,"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."}}