{"id":"W3083263067","doi":"10.1016/j.scitotenv.2020.142227","title":"Importance of meteorology in air pollution events during the city lockdown for COVID-19 in Hubei Province, Central China","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":131,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"China; Environmental science; Air quality index; Air pollution; Pollution; Range (aeronautics); Pollutant; Aerosol; Coronavirus disease 2019 (COVID-19); Climatology; Spatial distribution; Meteorology; Geography; Atmospheric sciences; Geology","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":[0.0003727253,0.000301486,0.0003156303,0.001286653,0.0008056018,0.0009054534,0.0004790955,0.0005101021,0.001271237],"category_scores_gemma":[0.0006926195,0.0002418908,0.0003778113,0.001527694,0.0003759568,0.0003797192,0.0007674225,0.0004792894,0.0001155808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002041568,"about_ca_system_score_gemma":0.002996727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2915896,"about_ca_topic_score_gemma":0.4037181,"domain_scores_codex":[0.9996912,0.00003328677,0.00004210705,0.00007312389,0.0000596467,0.0001005401],"domain_scores_gemma":[0.9991488,0.00006214549,0.0002490095,0.00003573156,0.0002182408,0.0002859508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000617132,0.00002669099,0.996027,0.0000258677,0.00005773441,0.000201389,0.0003512279,0.0001251544,0.0006098367,0.0000487985,0.0004756475,0.001988905],"study_design_scores_gemma":[0.000001225958,0.000005072242,0.9992422,0.000003157336,0.000009049167,0.00001354294,0.0003830212,0.0001219973,0.00002367659,0.000005215087,0.0001889929,0.000002879976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979244,0.0002488586,0.00004938868,0.0002065028,0.0000328753,0.00001488928,0.0008786768,0.00001003486,0.0006343897],"genre_scores_gemma":[0.9986935,0.0001086258,0.00003725536,0.00003593201,0.00002289976,0.00000687435,0.0006937369,0.000002605977,0.0003985851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2915896,"threshold_uncertainty_score":0.5797848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825454575350061,"score_gpt":0.2657057495069033,"score_spread":0.2474512037534027,"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."}}