{"id":"W3178014486","doi":"10.11159/ijepr.2021.002","title":"Impact of COVID-19 lockdown on air quality of Sri Lankan cities","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Pollution and Remediation","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council; Centre for Air Pollution, Energy and Health Research; National Science Foundation","keywords":"Air quality index; Coronavirus disease 2019 (COVID-19); Environmental science; Sri lanka; Geography; Particulates; Air pollution; Meteorology; Toxicology; Medicine; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003007663,0.0004148797,0.0003474895,0.0006748799,0.0008398583,0.001559531,0.0003745252,0.0004596479,0.001346654],"category_scores_gemma":[0.001044982,0.0002052553,0.000492916,0.0009735943,0.0004857062,0.0004086689,0.001327766,0.0007083431,0.0001780574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402017,"about_ca_system_score_gemma":0.001346559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1208317,"about_ca_topic_score_gemma":0.1459317,"domain_scores_codex":[0.9993592,0.0001076662,0.00006318213,0.0001045768,0.0001033147,0.000262119],"domain_scores_gemma":[0.9989954,0.00007926086,0.0003288735,0.00008670948,0.0002513573,0.0002583848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002119659,0.00009555512,0.9849347,0.00008075761,0.0001455437,0.0009386241,0.001171642,0.0006004857,0.00304118,0.000093352,0.001130188,0.007555969],"study_design_scores_gemma":[0.000002381386,0.00006878239,0.9972596,0.00001023191,0.00001545103,0.00005773302,0.00171673,0.00008773138,0.0001704455,0.000006804977,0.0005960127,0.000008021962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978564,0.0001739239,0.00003170232,0.0001303511,0.00001684554,0.00001088279,0.000528909,0.00001535655,0.001235421],"genre_scores_gemma":[0.9989054,0.0001381938,0.00005208681,0.00006273277,0.00001140989,0.00001157387,0.0005559194,0.000003401786,0.0002591941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1208317,"threshold_uncertainty_score":0.2402567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03092692158891792,"score_gpt":0.3552320093670829,"score_spread":0.324305087778165,"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."}}