{"id":"W4283755217","doi":"10.1016/j.enpol.2022.113147","title":"Developing future retail electricity markets with a customer-centric focus","year":2022,"lang":"en","type":"article","venue":"Energy Policy","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; Department for the Economy; Department for Employment and Learning, Northern Ireland","keywords":"Flexibility (engineering); Smart grid; Electricity; Renewable energy; Electricity retailing; Software deployment; Business; Energy transition; Environmental economics; Industrial organization; Grid; Electricity market; Marketing; Commerce; Telecommunications; Computer science; Engineering; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004864326,0.0003642529,0.0002987091,0.0005508063,0.001037467,0.006687623,0.001645191,0.004029815,0.0155702],"category_scores_gemma":[0.004640304,0.0003981601,0.0004886471,0.0006215883,0.001387333,0.01296341,0.002925193,0.002738926,0.00376244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002658981,"about_ca_system_score_gemma":0.008297737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001237625,"about_ca_topic_score_gemma":0.003471674,"domain_scores_codex":[0.9987186,0.0004554477,0.00004181873,0.0001232655,0.0004039586,0.0002568869],"domain_scores_gemma":[0.9961565,0.0006116921,0.0003567788,0.0002505001,0.001516423,0.001108153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003514566,0.0004187223,0.001294066,0.0003150892,0.00001477898,0.0002123761,0.0002911246,0.006732331,0.004878188,0.8754278,0.04057742,0.06980308],"study_design_scores_gemma":[0.00008802842,0.0003405281,0.002380548,0.0005102116,0.00002452031,0.0004110404,0.003255899,0.0355198,0.006114797,0.4641871,0.4870757,0.00009182536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07170007,0.002973774,0.3427795,0.09507752,0.001704477,0.001084552,0.0003269337,0.001213086,0.4831401],"genre_scores_gemma":[0.6390705,0.00567691,0.2689648,0.01403616,0.0008252595,0.0006831869,0.0004932199,0.0002886572,0.06996137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0155702,"threshold_uncertainty_score":0.05208749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006295231934250671,"score_gpt":0.1889389206802673,"score_spread":0.1826436887460167,"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."}}