{"id":"W2969580756","doi":"10.1175/bams-d-18-0013.1","title":"New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS)","year":2019,"lang":"en","type":"article","venue":"Bulletin of the American Meteorological Society","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":433,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"California Institute of Technology; Japan Aerospace Exploration Agency; Smithsonian Astrophysical Observatory; Core Research for Evolutional Science and Technology; Jet Propulsion Laboratory; National Institute of Environmental Research; Ministry of Education, India; Environmental Restoration and Conservation Agency; National Aeronautics and Space Administration; Ministry of Environment; Japan Society for the Promotion of Science; Ministry of Earth Sciences","keywords":"Geostationary orbit; Environmental science; Remote sensing; Satellite; Meteorology; Air quality index; Geostationary Operational Environmental Satellite; Trace gas; Spectrometer; Multispectral image; Troposphere; Geology; Aerospace engineering; Geography; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002118294,0.0004117827,0.0003045938,0.000687361,0.0002157784,0.000854388,0.0004816488,0.0007978262,0.002048627],"category_scores_gemma":[0.0006660149,0.0001654846,0.0002076096,0.001149955,0.0004859403,0.001722319,0.001176465,0.001440803,0.0004930327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004067838,"about_ca_system_score_gemma":0.0005255991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183411,"about_ca_topic_score_gemma":0.001757054,"domain_scores_codex":[0.9994429,0.0001245634,0.0000173282,0.0001079487,0.0002698436,0.0000374855],"domain_scores_gemma":[0.9993579,0.00008575663,0.00008251965,0.00007786607,0.000287447,0.0001084793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006446666,0.0003581254,0.0401084,0.0008904599,0.000286977,0.000201592,0.0002039161,0.004821641,0.1754548,0.0244957,0.1414486,0.6110851],"study_design_scores_gemma":[0.0003595494,0.0009710407,0.09787628,0.0003947552,0.0001860571,0.0005017957,0.0003069476,0.06947573,0.06135027,0.02236852,0.746023,0.0001860615],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4220546,0.1033099,0.3186812,0.04694469,0.006808426,0.0004850023,0.01923796,0.01372396,0.06875429],"genre_scores_gemma":[0.5596932,0.01480386,0.3824513,0.008715115,0.002749508,0.0001518578,0.01642119,0.000420426,0.01459352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002118294,"threshold_uncertainty_score":0.01120269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294077508069424,"score_gpt":0.228158550135425,"score_spread":0.2152177750547307,"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."}}