{"id":"W1984176657","doi":"10.5194/acp-15-11217-2015","title":"Influence of aerosols and surface reflectance on satellite NO <sub>2</sub> retrieval: seasonal and spatial characteristics and implications for NO <sub> <i>x</i> </sub> emission constraints","year":2015,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Key Research and Development Program of China; U.S. Geological Survey; Korea Institute of Science and Technology Information; Korea Institute of Science and Technology; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Natural Science Foundation of China; National Aeronautics and Space Administration","keywords":"Aerosol; Bidirectional reflectance distribution function; Environmental science; Atmospheric sciences; Remote sensing; Radiative transfer; Troposphere; Satellite; Meteorology; Ozone Monitoring Instrument; Climatology; Reflectivity; Geology; Physics; Optics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001891218,0.0003323692,0.0003982795,2.09999e-7,0.0002165011,0.00008717793,0.0001190931,0.0001883976,0.00001364535],"category_scores_gemma":[0.0001682529,0.00032134,0.00004289383,0.0001547746,0.0006084679,0.0001883697,0.00003687395,0.0002221254,0.00000462611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001053311,"about_ca_system_score_gemma":0.0001236811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002005314,"about_ca_topic_score_gemma":0.000002069444,"domain_scores_codex":[0.9985291,0.00002599965,0.0003430285,0.0005626667,0.0001997139,0.0003394866],"domain_scores_gemma":[0.9985162,0.0003309707,0.000260053,0.0002484404,0.000232201,0.0004121166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004244914,0.00004384796,0.05668547,0.000389835,0.00003107477,0.000002465834,0.0001203998,0.0002107104,0.8569914,0.000007013767,0.0001078962,0.08498546],"study_design_scores_gemma":[0.001815896,0.0003884469,0.1070118,0.0003714721,0.0001115775,0.00007946063,0.00007366544,0.01365817,0.8737457,0.0008076389,0.001049235,0.0008868743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977219,0.0006173789,0.000317691,0.00007725428,0.00004529137,0.0002469391,0.0003959881,0.0000330574,0.0005445269],"genre_scores_gemma":[0.9958897,0.001555751,0.00190553,0.0001280923,0.0002437811,0.000003540433,0.0001877505,0.00001355251,0.00007226773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08409858,"threshold_uncertainty_score":0.9999239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174496624978719,"score_gpt":0.2232077629443555,"score_spread":0.2114627966945683,"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."}}