{"id":"W3205435792","doi":"10.1038/s41560-021-00904-8","title":"Climate mitigation scenarios with persistent COVID-19-related energy demand changes","year":2021,"lang":"en","type":"article","venue":"Nature Energy","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Horizon 2020 Framework Programme; Natural Environment Research Council; European Commission","keywords":"Renewable energy; Energy demand; Climate change; Environmental science; Natural resource economics; Coronavirus disease 2019 (COVID-19); Energy supply; Work (physics); Efficient energy use; Greenhouse gas; Energy (signal processing); Energy transition; Economics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003176068,0.0002674874,0.0002447778,0.00006263231,0.0002837548,0.0000654695,0.0002393874,0.0004275992,0.002784994],"category_scores_gemma":[0.0002750947,0.0002274327,0.0001191685,0.0006698682,0.0001945285,0.0001706994,0.0002290286,0.0003290889,0.00003811467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008091112,"about_ca_system_score_gemma":0.0001334948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001096846,"about_ca_topic_score_gemma":0.009704219,"domain_scores_codex":[0.9976894,0.0002740244,0.0002233776,0.0006492976,0.0006599459,0.0005039389],"domain_scores_gemma":[0.9986802,0.0001660323,0.0001580362,0.0004959043,0.00003016528,0.0004696559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001846091,0.003358861,0.164092,0.0006988693,0.001532976,0.003850769,0.01419023,0.2826594,0.1450319,0.1286927,0.1130907,0.1409556],"study_design_scores_gemma":[0.002692456,0.0003330937,0.01694464,0.00009458043,0.0001827452,0.0003237954,0.0007312856,0.007679427,0.03868043,0.00134192,0.9298127,0.00118288],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8493094,0.006469434,0.006824317,0.1047683,0.001549841,0.0004230288,0.0001894289,0.001016459,0.02944974],"genre_scores_gemma":[0.9677724,0.0003248205,0.0003729806,0.02913371,0.00007341933,0.00002351897,0.0001633759,0.0000325849,0.002103215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8167221,"threshold_uncertainty_score":0.9981266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009815132325559394,"score_gpt":0.2613923588239725,"score_spread":0.2515772264984131,"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."}}