{"id":"W2953973323","doi":"10.1029/2019gl083673","title":"An Observation‐Based Correction for Aerosol Effects on Nitrogen Dioxide Column Retrievals Using the Absorbing Aerosol Index","year":2019,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Dalhousie University","funders":"Goddard Space Flight Center","keywords":"Aerosol; Environmental science; Atmospheric sciences; Radiative transfer; Absorption (acoustics); Satellite; Trace gas; Nitrogen dioxide; Remote sensing; Chemical transport model; Meteorology; Physics; Optics; Geology","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":[0.0009275202,0.0004927339,0.0002668305,0.0003680373,0.000312354,0.0005195403,0.0006204013,0.0003609403,0.0004413356],"category_scores_gemma":[0.002271642,0.0002640109,0.000442971,0.000359249,0.0002175199,0.0007240743,0.0004774459,0.000403736,0.0001749185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004741654,"about_ca_system_score_gemma":0.0008976361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01728846,"about_ca_topic_score_gemma":0.02466639,"domain_scores_codex":[0.9996493,0.00007877646,0.00002152479,0.00008927726,0.0001278522,0.00003322924],"domain_scores_gemma":[0.9994837,0.0001594221,0.00007464634,0.0001250687,0.0001402331,0.00001685336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004827988,0.0003714144,0.2130355,0.0002863302,0.0008286645,0.0002246606,0.0001747643,0.2570913,0.3909595,0.003377673,0.003467078,0.1297003],"study_design_scores_gemma":[0.00008310891,0.0000910021,0.07401561,0.00002565484,0.0001423035,0.0000712332,0.0000274879,0.8331137,0.08894461,0.0005117131,0.002914033,0.00005958578],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8507932,0.0004542663,0.1415626,0.0003089427,0.0002050852,0.0001050633,0.0009523729,0.002413626,0.00320472],"genre_scores_gemma":[0.952377,0.0001025592,0.04587424,0.00008644918,0.000026049,0.00003271511,0.000712005,0.0001530505,0.0006359857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01728846,"threshold_uncertainty_score":0.03437561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04148664129208435,"score_gpt":0.2993429687608051,"score_spread":0.2578563274687207,"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."}}