{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003852366,0.0001919583,0.0002138055,0.0001125128,0.0001453825,0.00002999122,0.0002901076,0.00007919689,0.04322761],"category_scores_gemma":[0.000177981,0.0002176048,0.0001546215,0.0006792767,0.0001427481,0.000283324,0.0004326998,0.0001063614,0.0004360657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003444287,"about_ca_system_score_gemma":0.00004965192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003283134,"about_ca_topic_score_gemma":0.003035048,"domain_scores_codex":[0.997373,0.0001731412,0.0004267264,0.0006179758,0.001117798,0.0002912988],"domain_scores_gemma":[0.9991922,0.0001192562,0.0001331334,0.0003328041,0.00001295156,0.0002096587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004733778,0.0004347679,0.8906302,0.00000595552,0.0001649445,0.00003272071,0.0003000395,0.08936875,0.01796802,0.0005419344,0.0003518421,0.0001535274],"study_design_scores_gemma":[0.0005117858,0.00001619888,0.9935451,0.0000121886,0.00003454346,0.000006129525,0.0003070087,0.0009274558,0.00132198,0.0010076,0.002069537,0.0002405337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766363,0.00001052108,0.006013894,0.01551518,0.0001307856,0.000164759,0.0006351239,0.00003108176,0.0008623409],"genre_scores_gemma":[0.9941989,0.00003096127,0.001060715,0.002689924,0.00006189517,0.00002850578,0.0006352733,0.000009622834,0.001284172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1029149,"threshold_uncertainty_score":0.957647,"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."}}