{"id":"W3194131981","doi":"10.1016/j.envint.2021.106818","title":"A global observational analysis to understand changes in air quality during exceptionally low anthropogenic emission conditions","year":2021,"lang":"en","type":"article","venue":"Environment International","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":231,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Biodiversity Monitoring Institute; Ministry of the Environment, Conservation and Parks; Capital Regional District; The Audio Recording Academy; Alberta Environment and Protected Areas; Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs; Environment and Climate Change Canada; Ministère des Ressources naturelles et des Forêts; GDG Environnement","funders":"European Regional Development Fund; Natural Environment Research Council; Ministry of Science and Higher Education of the Russian Federation; Eesti Teadusagentuur; Sight Research UK; Ministry of Earth Sciences; European Commission","keywords":"Air quality index; Environmental science; Pollutant; Air pollutants; NOx; Climatology; Atmospheric sciences; Meteorology; Air pollution; Globe; Geography; Chemistry; Physics","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":[0.0005728976,0.0004086473,0.0003036449,0.001060412,0.000162646,0.0004328489,0.000247591,0.0002464722,0.0006075042],"category_scores_gemma":[0.0007876566,0.0001221254,0.0005421398,0.002219203,0.0001262666,0.0005522267,0.0006706578,0.0002073613,0.0001391186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002678031,"about_ca_system_score_gemma":0.000451099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02810583,"about_ca_topic_score_gemma":0.02720276,"domain_scores_codex":[0.9997615,0.00006154295,0.00001975214,0.00009048377,0.00003257913,0.0000340987],"domain_scores_gemma":[0.9995024,0.00007997215,0.0001557837,0.0001187186,0.00009584036,0.0000473234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007997521,0.00007846365,0.9527211,0.0001660081,0.0006084926,0.000108067,0.0003026869,0.01326581,0.004657982,0.0007897505,0.003131563,0.02409014],"study_design_scores_gemma":[0.00000468454,0.00004608477,0.9869363,0.00001470272,0.00007702821,0.00003572442,0.0003052658,0.008463525,0.0004727477,0.0002871988,0.003348019,0.000008666392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95276,0.0005408263,0.00981599,0.0002698391,0.00002585352,0.00006244057,0.03327814,0.0001705321,0.00307629],"genre_scores_gemma":[0.9626312,0.0003680779,0.007153073,0.00008033631,0.00003712541,0.000060795,0.02928278,0.00003370492,0.0003528181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02810583,"threshold_uncertainty_score":0.05588448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0575739248681354,"score_gpt":0.3661595852399936,"score_spread":0.3085856603718582,"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."}}