{"id":"W3132981728","doi":"10.1007/s13762-021-03142-3","title":"COVID-19 lockdown: a rare opportunity to establish baseline pollution level of air pollutants in a megacity, India","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Science and Technology","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Megacity; Pollutant; Baseline (sea); Coronavirus disease 2019 (COVID-19); Air pollutants; Air pollution; Pollution; Environmental science; 2019-20 coronavirus outbreak; Environmental health; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Ecotoxicology; Environmental protection; Environmental chemistry; Medicine; Virology; Outbreak; Chemistry; Biology; Ecology; Geology; Oceanography","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":[0.001921554,0.0001347158,0.0002345381,0.0006568457,0.0000973433,0.00002801097,0.0008263525,0.0001036369,0.002027332],"category_scores_gemma":[0.005682718,0.0001288444,0.00004630597,0.00117408,0.001210497,0.000653682,0.00099113,0.0002557484,0.0000128291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001910294,"about_ca_system_score_gemma":0.0007633831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003089092,"about_ca_topic_score_gemma":0.0003803387,"domain_scores_codex":[0.997458,0.00008404766,0.0005696387,0.0003282266,0.001275889,0.0002841825],"domain_scores_gemma":[0.9986899,0.00008697651,0.0003480891,0.000215704,0.00004721879,0.000612084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001503083,0.0007932609,0.3767519,0.000007891013,0.00002874092,0.0006351219,0.0006980677,0.0007348386,0.5320774,0.0004857274,0.0006241774,0.08701254],"study_design_scores_gemma":[0.001638298,0.0003312582,0.9141492,0.00005844454,0.00001468573,0.001179378,0.001750885,0.0002385062,0.06752595,0.004531514,0.008294752,0.0002870795],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694331,0.00004526864,0.001076487,0.02868118,0.0001732799,0.0001130113,0.0002615767,0.000009596792,0.0002065319],"genre_scores_gemma":[0.9925107,0.0000890223,0.001332352,0.005993302,0.00002007658,0.000002273696,0.00000227128,0.000005635059,0.0000443888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5373973,"threshold_uncertainty_score":0.998885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04963587263624327,"score_gpt":0.3331760424045117,"score_spread":0.2835401697682684,"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."}}