{"id":"W1513454981","doi":"10.1002/grl.50234","title":"Persistent sensitivity of Asian aerosol to emissions of nitrogen oxides","year":2013,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Universitatea \"Lucian Blaga\" din Sibiu; National Oceanic and Atmospheric Administration; U.S. Environmental Protection Agency; National Aeronautics and Space Administration","keywords":"Aerosol; Environmental science; Nitrate; Ammonium; Trace gas; Chemical transport model; Environmental chemistry; Atmospheric sciences; Population; Sulfur dioxide; NOx; Reactive nitrogen; Ammonia; Nitrogen; Nitrogen dioxide; Nitrogen oxide; Chemistry; Meteorology; Inorganic chemistry; Geography; Combustion; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004532114,0.0005745148,0.0003112158,0.0002134457,0.00036122,0.0006723061,0.0005094524,0.0005868048,0.0006591424],"category_scores_gemma":[0.001088948,0.0002908089,0.0007779492,0.0002947418,0.0004264489,0.0005416759,0.0005973279,0.0006595943,0.00007986203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032963,"about_ca_system_score_gemma":0.0008320066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07714909,"about_ca_topic_score_gemma":0.02044383,"domain_scores_codex":[0.9998672,0.00003033313,0.00001000301,0.0000361106,0.00001787811,0.00003841033],"domain_scores_gemma":[0.9995739,0.0001636128,0.00007918304,0.00004694702,0.00008311023,0.00005325084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000357032,0.0001620064,0.1276065,0.00005377879,0.0002679203,0.0004785359,0.0001532968,0.8371472,0.02896926,0.001739465,0.0004207034,0.002644344],"study_design_scores_gemma":[0.00006220119,0.0001288477,0.03840055,0.00000692677,0.00009013974,0.00005580211,0.000152073,0.9512869,0.008762047,0.000667712,0.0003475215,0.00003918142],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982582,0.00002208212,0.0004528415,0.00007391038,0.000007365141,0.000004185236,0.0001437738,0.00003437969,0.001003143],"genre_scores_gemma":[0.9995547,0.00001899816,0.0001657994,0.00001573106,0.000002099039,0.000002421734,0.0001094968,0.000005585076,0.0001250966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07714909,"threshold_uncertainty_score":0.1534001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895990294783943,"score_gpt":0.2688268315301723,"score_spread":0.2398669285823329,"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."}}