{"id":"W4317619163","doi":"10.3390/en16031150","title":"Applying Energy Justice Principles to Renewable Energy Trading and Allocation in Multi-Unit Buildings","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Norges Forskningsråd","keywords":"Renewable energy; Environmental economics; Incentive; Unit (ring theory); Work (physics); Profit (economics); Energy consumption; Business; Energy storage; Economics; Microeconomics; Engineering; Power (physics); 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"],"consensus_categories":[],"category_scores_codex":[0.000208588,0.0002203605,0.0002010466,0.0006119965,0.00009946545,0.00008024105,0.0001952236,0.00007501343,0.00001028601],"category_scores_gemma":[0.00005113419,0.0002538023,0.00002778852,0.0009147973,0.00002083601,0.0002112097,0.0001610648,0.0000633544,0.000007489506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009655765,"about_ca_system_score_gemma":0.000009952042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002026496,"about_ca_topic_score_gemma":0.003049091,"domain_scores_codex":[0.9987785,0.00002613806,0.0002749786,0.0003135533,0.0001814921,0.0004253715],"domain_scores_gemma":[0.999508,0.0001000648,0.00002641832,0.0002465712,0.00001982195,0.00009913737],"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":[0.000004129109,0.000008675102,0.0002656268,0.00006912314,0.00002441921,0.00001335533,0.0003288811,0.9682247,0.0122702,0.01091154,0.002138004,0.005741321],"study_design_scores_gemma":[0.0002960287,0.00001361953,0.00202664,0.00008222965,0.0000224908,0.000002164317,0.0007018268,0.6043349,0.02403831,0.0001407918,0.3680037,0.0003372954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8649893,0.001396613,0.1141564,0.0003241609,0.001834011,0.0002844734,0.000006409715,0.002987772,0.01402082],"genre_scores_gemma":[0.9886583,0.0009664013,0.006019851,0.0001562223,0.0001647059,0.00060419,0.00002778315,0.00007903239,0.003323499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3658657,"threshold_uncertainty_score":0.9999914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03662233326452331,"score_gpt":0.2420871501321208,"score_spread":0.2054648168675975,"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."}}