{"id":"W4206210420","doi":"10.1038/s41586-021-04229-0","title":"Global fine-scale changes in ambient NO2 during COVID-19 lockdowns","year":2022,"lang":"en","type":"article","venue":"Nature","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":297,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Public Health Ontario; University of Toronto; Dalhousie University","funders":"Nuclear Safety and Security Commission; Environment and Climate Change Canada; National Aeronautics and Space Administration","keywords":"Environmental science; Satellite; Coronavirus disease 2019 (COVID-19); Representativeness heuristic; Atmospheric sciences; Ozone; Nitrogen dioxide; Population; Air pollution; Meteorology; Geography; Statistics; Environmental health; Chemistry; Mathematics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003271711,0.0003135082,0.0002463787,0.0007267645,0.0003440402,0.000559767,0.0003168816,0.0004412201,0.0006254382],"category_scores_gemma":[0.0005540942,0.0001401595,0.0003796237,0.0009809209,0.000313145,0.0003785112,0.0009599179,0.0002912862,0.0001577191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007846159,"about_ca_system_score_gemma":0.000278465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04598087,"about_ca_topic_score_gemma":0.04098518,"domain_scores_codex":[0.9998398,0.00001844867,0.00001343384,0.00005504204,0.00002674341,0.00004651948],"domain_scores_gemma":[0.9995326,0.00004005535,0.0001945419,0.00005002924,0.0001147343,0.00006800739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000235071,0.00005800083,0.9787909,0.00005318604,0.0001167385,0.0002382999,0.0002622516,0.002705033,0.008385796,0.0001159366,0.0008538096,0.008184957],"study_design_scores_gemma":[0.000002335245,0.00002362108,0.9980413,0.000004763345,0.000008871848,0.00001887741,0.0001119722,0.0007732974,0.000439782,0.00001708773,0.0005535276,0.000004576554],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966324,0.000112283,0.0002365441,0.00004451769,0.00001020351,0.00001473499,0.002197527,0.00002452753,0.0007273051],"genre_scores_gemma":[0.9963086,0.00006342296,0.000291865,0.0000352802,0.000007490035,0.00001683013,0.003107453,0.000004760166,0.0001642658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04598087,"threshold_uncertainty_score":0.09142649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447121658968019,"score_gpt":0.3092467094730543,"score_spread":0.2947754928833741,"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."}}