{"id":"W3126728348","doi":"10.1039/d1em00187f","title":"Importance of meteorology and chemistry in determining air pollutant levels during COVID-19 lockdown in Indian cities","year":2021,"lang":"en","type":"article","venue":"Environmental Science Processes & Impacts","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"NOx; Ozone; Air pollution; Environmental science; Air quality index; Meteorology; Atmospheric sciences; Coronavirus disease 2019 (COVID-19); Pollutant; Pollution; Geography; Chemistry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001137436,0.0002930578,0.0003845743,0.0001395918,0.000219246,0.00004642283,0.0005063966,0.000104335,0.001350988],"category_scores_gemma":[0.002239807,0.0002999324,0.00003655359,0.001343192,0.002184911,0.001094588,0.0008279249,0.0002602365,0.00001254918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001882432,"about_ca_system_score_gemma":0.0006623283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004993499,"about_ca_topic_score_gemma":0.001780931,"domain_scores_codex":[0.9967815,0.00008270669,0.0005988713,0.0008879327,0.0007395635,0.0009094193],"domain_scores_gemma":[0.9984537,0.0002168243,0.0002907237,0.0004068849,0.000004015757,0.0006278329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002224018,0.00009156379,0.6245353,0.0001616211,0.000002053868,0.0001499522,0.004099666,0.0007856947,0.3695333,7.34501e-7,0.000001265292,0.00061653],"study_design_scores_gemma":[0.0005952318,0.00004082924,0.7509928,0.00004172248,0.000003846897,0.0001642838,0.002398306,0.00008164835,0.2451542,0.0002344558,0.00003441073,0.0002582924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983553,0.0002830873,0.00001491426,0.0007596037,0.00002613766,0.0002037938,0.0000607954,0.00002221715,0.0002741072],"genre_scores_gemma":[0.9982644,0.0001190288,0.0003382179,0.001175253,0.00001035684,0.00001713351,0.000003408745,0.00001668407,0.00005554032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1264575,"threshold_uncertainty_score":0.9999453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953363912597188,"score_gpt":0.2906588872363942,"score_spread":0.2711252481104223,"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."}}