{"id":"W3187350720","doi":"10.1016/j.enbuild.2021.111330","title":"Impacts of COVID-19 related stay-at-home restrictions on residential electricity use and implications for future grid stability","year":2021,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Building Technologies Office; Office of Energy Efficiency and Renewable Energy; U.S. Department of Energy","keywords":"Electricity; Metropolitan area; Mains electricity; Work (physics); Coronavirus disease 2019 (COVID-19); Peak demand; Consumption (sociology); Quarter (Canadian coin); Environmental economics; Environmental science; Business; Engineering; Geography; Economics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001378176,0.0001365963,0.000168349,0.0001285309,0.000200926,0.00004177136,0.00006303127,0.0001087987,0.00002124573],"category_scores_gemma":[0.0001911422,0.0001419185,0.00005064036,0.0004038736,0.00004172306,0.0001552075,0.00006427719,0.00008375754,1.80285e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001662661,"about_ca_system_score_gemma":0.00004145157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003165975,"about_ca_topic_score_gemma":0.0007229683,"domain_scores_codex":[0.9991562,0.0000340604,0.0002355918,0.0002742885,0.0000879595,0.0002118806],"domain_scores_gemma":[0.9992263,0.0002352227,0.00005183737,0.0002637191,0.00006444893,0.000158437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004509962,0.0003499755,0.08620114,0.0006064732,0.0008818549,0.00002245485,0.001164488,0.1258143,0.1663341,0.5416622,0.0738343,0.002677806],"study_design_scores_gemma":[0.002654094,0.0003283939,0.4943348,0.00004900327,0.0002562671,0.00005901302,0.0002579084,0.003881896,0.1344154,0.01056802,0.3523847,0.0008104523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923549,0.0006980682,0.00513412,0.001077247,0.0003186674,0.00009035962,0.00008307024,0.0001417557,0.0001018266],"genre_scores_gemma":[0.9969662,0.001841714,0.0006811252,0.000124746,0.0001494722,0.0000366254,0.00007319059,0.00002239191,0.0001045283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5310941,"threshold_uncertainty_score":0.5787268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144071739738754,"score_gpt":0.2336073233555749,"score_spread":0.2192001493816995,"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."}}