{"id":"W2021877375","doi":"10.3402/tellusb.v67.23930","title":"Impacts of additional HONO sources on O&lt;sub&gt;3&lt;/sub&gt; and PM&lt;sub&gt;2.5&lt;/sub&gt; chemical coupling and control strategies in the Beijing–Tianjin–Hebei region of China","year":2015,"lang":"en","type":"article","venue":"Tellus B","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences; Chinese Academy of Sciences; Institute of Atmospheric Physics, Chinese Academy of Sciences; National Natural Science Foundation of China; CERN","keywords":"Daytime; NOx; Ozone; Nitrogen dioxide; Particulates; Environmental chemistry; Atmospheric sciences; Aerosol; Beijing; Chemistry; Ammonia; Environmental science; Atmospheric chemistry; Nitrous acid; Meteorology; Inorganic chemistry","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":[0.000802426,0.0004946589,0.0007266686,0.0000396924,0.000216614,0.0001683526,0.0004600674,0.0003298737,0.0003553315],"category_scores_gemma":[0.0002972012,0.0003799798,0.0001388255,0.0003620579,0.0007745326,0.0004227647,0.00005545629,0.00044795,0.00002397574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002463178,"about_ca_system_score_gemma":0.0002628349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001666063,"about_ca_topic_score_gemma":0.0003828265,"domain_scores_codex":[0.9970819,0.000114637,0.0007212412,0.0006357735,0.0007884207,0.0006579838],"domain_scores_gemma":[0.9977345,0.000861734,0.000503635,0.0004207462,0.0001150036,0.0003643443],"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":[0.00467492,0.0009355757,0.07649639,0.001156538,0.000529505,0.0004165196,0.009573797,0.01838131,0.8446243,0.001049713,0.02534486,0.01681663],"study_design_scores_gemma":[0.02032751,0.004247304,0.4830707,0.002929676,0.0008061323,0.001376972,0.007578355,0.07640447,0.3758991,0.01072042,0.01180202,0.004837377],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926258,0.003130071,0.00007913514,0.0003849892,0.0001342577,0.0004112621,0.0006269777,0.00005718617,0.00255037],"genre_scores_gemma":[0.9982954,0.0004248867,0.0001491738,0.0001532666,0.0004510834,0.000008658052,0.0004586565,0.00001923555,0.00003968656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4687251,"threshold_uncertainty_score":0.9998652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225753053749355,"score_gpt":0.2004491058995779,"score_spread":0.1881915753620844,"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."}}