{"id":"W3113787841","doi":"10.1016/j.tej.2020.106903","title":"Going viral: The impacts of covid19 on retail electricity","year":2020,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Remuneration; Electricity; Business; Business model; Key (lock); Coronavirus disease 2019 (COVID-19); Mains electricity; Grid; Industrial organization; Environmental economics; Commerce; Economics; Marketing; Finance; Engineering; Computer science; Computer security; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0007590021,0.0002017675,0.0002380098,0.0000996599,0.0002533175,0.00008431358,0.0006900472,0.00005276393,0.00006022416],"category_scores_gemma":[0.0002845543,0.0001176013,0.0001502211,0.0008641244,0.00003864856,0.000114859,0.00005185435,0.0009809644,0.00004968684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001744058,"about_ca_system_score_gemma":0.00004637011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001483807,"about_ca_topic_score_gemma":0.000005086553,"domain_scores_codex":[0.998371,0.0001629543,0.0003723634,0.0001239523,0.0004916718,0.0004780488],"domain_scores_gemma":[0.9991359,0.0002658406,0.0001418519,0.0002711481,0.00005498913,0.0001303298],"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":[0.0003767967,0.00009812702,0.001886004,0.00009858864,0.0008830011,0.00006176629,0.001450971,0.7724646,0.06821132,0.005898836,0.12954,0.01903005],"study_design_scores_gemma":[0.001993512,0.001698783,0.01741249,0.0001038861,0.0003621296,0.000270064,0.0001087839,0.6324952,0.2631586,0.002089471,0.07944274,0.0008644103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641712,0.001508709,0.01872858,0.00655323,0.0004458248,0.0002801829,0.000003177933,0.0002565677,0.008052547],"genre_scores_gemma":[0.9970179,0.0007027225,0.00004949586,0.001505852,0.0006382406,0.000003425864,7.670639e-7,0.0000378614,0.00004379622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1949472,"threshold_uncertainty_score":0.4795641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493091647588092,"score_gpt":0.2050543992581141,"score_spread":0.1901234827822331,"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."}}