{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001881932,0.0002293496,0.0001829466,0.0009212805,0.002851451,0.007639415,0.0009747596,0.002280792,0.03448812],"category_scores_gemma":[0.01103414,0.000167793,0.0003966693,0.001455119,0.001652492,0.003940425,0.003106332,0.003360423,0.0033973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003041659,"about_ca_system_score_gemma":0.002501426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05125478,"about_ca_topic_score_gemma":0.08783966,"domain_scores_codex":[0.9980291,0.000515235,0.00004524093,0.0001087132,0.000709752,0.0005919961],"domain_scores_gemma":[0.991643,0.002361505,0.001002932,0.0003195766,0.002549706,0.002123342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001604832,0.001306072,0.2215517,0.0003752601,0.0001394733,0.002581801,0.006642161,0.003892063,0.001861343,0.1075109,0.5351562,0.1173781],"study_design_scores_gemma":[0.0001764738,0.0007481901,0.3112349,0.0007682054,0.0001594911,0.0009375676,0.06904192,0.01097026,0.002621441,0.03217364,0.5708814,0.0002865339],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.509977,0.002288619,0.000610531,0.06300874,0.00220091,0.00006633437,0.003580004,0.0002826257,0.4179852],"genre_scores_gemma":[0.9723536,0.000845984,0.0001564285,0.006458088,0.000578671,0.00001388125,0.0009590653,0.0001313934,0.01850302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05125478,"threshold_uncertainty_score":0.1153742,"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."}}