{"id":"W3115666194","doi":"10.3390/rs13010005","title":"Examining the Economic and Environmental Impacts of COVID-19 Using Earth Observation Data","year":2020,"lang":"en","type":"article","venue":"Remote Sensing","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"BlueDot (Canada)","funders":"Oak Ridge National Laboratory; National Oceanic and Atmospheric Administration; Colorado School of Mines; National Aeronautics and Space Administration","keywords":"Coronavirus disease 2019 (COVID-19); Per capita; Recession; Environmental science; Gross domestic product; Unemployment; Geography; Pandemic; Consumption (sociology); Air quality index; Meteorology; Demography; Economic growth; Economics; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.0006697701,0.0001304938,0.0001640923,0.0000150152,0.0001677764,0.00004077946,0.0002141644,0.00004573723,0.00012261],"category_scores_gemma":[0.0004829791,0.0001132345,0.00002197021,0.00008997817,0.0002490584,0.0003588256,0.0006576506,0.0001137019,0.00002574439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003795959,"about_ca_system_score_gemma":0.00007351905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003496462,"about_ca_topic_score_gemma":0.0001665486,"domain_scores_codex":[0.9987708,0.0001721514,0.0002700072,0.0003804094,0.0001981272,0.0002084778],"domain_scores_gemma":[0.9987426,0.0002801876,0.0002024386,0.0005293656,9.562378e-7,0.0002443859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009929486,0.00001360141,0.06468735,0.0001049221,0.00004674928,0.00002276218,0.008694528,0.05780591,0.7522585,0.000006944061,0.0004443244,0.1158151],"study_design_scores_gemma":[0.0002728131,0.00003260219,0.03223369,0.00001183915,0.00002504317,0.00002546567,0.0007411267,0.9608798,0.002347005,0.00004818563,0.003238319,0.0001441025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876186,0.00003798056,0.009949275,0.002041622,0.00003793173,0.0001732175,0.00004437016,0.00002572484,0.00007132868],"genre_scores_gemma":[0.9881406,0.00002864161,0.007610391,0.004119489,0.00005407095,1.966699e-9,0.00002612813,0.00001546648,0.000005146016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9030739,"threshold_uncertainty_score":0.5285628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1918252429307804,"score_gpt":0.3294400781418988,"score_spread":0.1376148352111184,"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."}}