{"id":"W4391944537","doi":"10.5194/acp-24-2077-2024","title":"How well do Earth system models reproduce the observed aerosol response to rapid emission reductions? A COVID-19 case study","year":2024,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Hellenic Foundation for Research and Innovation","keywords":"Aerosol; Coronavirus disease 2019 (COVID-19); Atmospheric sciences; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Earth system science; 2019-20 coronavirus outbreak; Environmental science; Meteorology; Physics; Geology; Virology; Infectious disease (medical specialty); Biology; Outbreak; Medicine; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001215183,0.0002803498,0.0002274831,3.448134e-7,0.0005016052,0.0003454165,0.0002586658,0.0000754405,0.0003545207],"category_scores_gemma":[0.0002402072,0.0002131122,0.00009517534,0.0007039511,0.000164125,0.0003106285,0.0002680609,0.0002754452,0.00004712475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004371344,"about_ca_system_score_gemma":0.0001329902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000969391,"about_ca_topic_score_gemma":0.000007857165,"domain_scores_codex":[0.9978209,0.0003150811,0.0002512619,0.0009182795,0.0003885023,0.0003060323],"domain_scores_gemma":[0.9979355,0.0003884572,0.00007301393,0.001137774,0.00001475114,0.0004505012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002724631,0.001728756,0.003597196,0.00259248,0.0003755322,0.004373077,0.06072629,0.1032911,0.6213674,0.00005728583,0.0297773,0.169389],"study_design_scores_gemma":[0.004129533,0.001274973,0.001570588,0.0005854203,0.000793645,0.007945616,0.1417088,0.4558516,0.130538,0.001323998,0.2502719,0.004005893],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907735,0.0002100315,0.003418285,0.004153267,0.0001060437,0.0006830483,0.00001861965,0.0002293579,0.0004078583],"genre_scores_gemma":[0.9894652,0.00001244202,0.0008286663,0.0003833537,0.0001817543,0.0000881451,0.00000308963,0.00002923269,0.009008141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4908294,"threshold_uncertainty_score":0.8690462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04891143254782793,"score_gpt":0.2958123601716114,"score_spread":0.2469009276237835,"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."}}