{"id":"W2310114729","doi":"10.1021/acs.est.5b05833","title":"Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors","year":2016,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":1229,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; National Aeronautics and Space Administration","keywords":"AERONET; Environmental science; Satellite; SeaWiFS; Particulates; Aerosol; Mineral dust; Remote sensing; Meteorology; Sun photometer; Geostationary orbit; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513197395157245,"score_gpt":0.2812341487165341,"score_spread":0.2661021747649616,"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."}}