{"id":"W4220653032","doi":"10.18280/ijdne.170106","title":"Analysis on Air Pollutants in COVID-19 Lockdown Using Satellite Imagery: A Study on Pakistan","year":2022,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Air pollution; Air quality index; Pollutant; Ozone; Nitrogen dioxide; Urbanization; Coronavirus disease 2019 (COVID-19); Environmental health; Air pollutants; Air pollutant concentrations; Satellite; Pollution; Environmental engineering; Meteorology; Environmental planning; Geography; Engineering; Medicine; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002082336,0.0001814082,0.0003085749,0.0007393131,0.000160297,0.00008121889,0.0005379201,0.00007489547,0.0004532551],"category_scores_gemma":[0.0003087703,0.0001663214,0.0001531327,0.0008504672,0.00005943993,0.0002598336,0.0002051274,0.0008688878,0.00000456258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002917832,"about_ca_system_score_gemma":0.0001356658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002475613,"about_ca_topic_score_gemma":0.0003552538,"domain_scores_codex":[0.9972143,0.000495221,0.0005686544,0.0002949539,0.001213579,0.0002133338],"domain_scores_gemma":[0.9986299,0.000485036,0.0004715286,0.0001848335,0.00003023396,0.0001984553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002195065,0.001277354,0.3275788,0.000003899197,0.0006203447,0.001302246,0.002357659,0.6539017,0.001232961,0.0000859689,0.0001001931,0.009343849],"study_design_scores_gemma":[0.003661165,0.001707876,0.8689414,0.00003561736,0.0003194435,0.0002762979,0.002976937,0.1163408,0.00006301675,0.003385179,0.001750473,0.0005417609],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885141,0.00008933355,0.008298375,0.002324297,0.0003330899,0.0002152628,0.00009629195,0.000009971948,0.0001193319],"genre_scores_gemma":[0.9935488,0.00004377622,0.0005657728,0.005746911,0.000043973,0.000002270287,0.000004581192,0.00001337607,0.00003051946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5413627,"threshold_uncertainty_score":0.7630031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795044961548874,"score_gpt":0.3574970296084736,"score_spread":0.3295465799929848,"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."}}