{"id":"W2132797698","doi":"10.1016/j.atmosenv.2008.07.018","title":"Satellite remote sensing of surface air quality","year":2008,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":583,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Trace gas; Remote sensing; Environmental science; Troposphere; Satellite; Air quality index; Planetary boundary layer; Aerosol; Boundary layer; Inversion (geology); Meteorology; Geology; Geography; Aerospace engineering","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":[0.0001691951,0.0001889381,0.0002789571,0.0006311457,0.0001504097,0.0003175478,0.0001561307,0.000193962,0.001469943],"category_scores_gemma":[0.0002923047,0.00009350262,0.0001931056,0.001033416,0.00009441849,0.0002004109,0.0001971942,0.0001631026,0.0004450752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002723773,"about_ca_system_score_gemma":0.000543609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03893226,"about_ca_topic_score_gemma":0.06020597,"domain_scores_codex":[0.9998993,0.00001157937,0.0000059756,0.00002032089,0.00004633058,0.00001650901],"domain_scores_gemma":[0.9998302,0.0000206782,0.00002674114,0.00003341899,0.00007115142,0.00001781286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007302514,0.0003090461,0.3018244,0.0003948927,0.0004786311,0.0001639577,0.0003284809,0.03012704,0.2162601,0.003057205,0.03907368,0.4072523],"study_design_scores_gemma":[0.0001209795,0.0001244724,0.8901818,0.00003491358,0.0001411937,0.0001003395,0.0002193123,0.0414052,0.02621684,0.001230542,0.04018762,0.00003677779],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9326388,0.001989447,0.01176567,0.0003507165,0.0001889794,0.00006159757,0.02707457,0.000989229,0.02494108],"genre_scores_gemma":[0.972093,0.0005644925,0.01138932,0.0001007932,0.00007363321,0.00001969851,0.01207282,0.00005007844,0.003636166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03893226,"threshold_uncertainty_score":0.07741129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850175776842461,"score_gpt":0.2063097246764795,"score_spread":0.1878079669080549,"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."}}