{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000318458,0.000587554,0.0003566694,0.0001998762,0.0003768636,0.0004937038,0.0004718881,0.0003757395,0.0003315415],"category_scores_gemma":[0.0002550021,0.0002471405,0.0004557456,0.0001629067,0.0002794687,0.0004896699,0.0005150587,0.0002200755,0.00003666561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110756,"about_ca_system_score_gemma":0.0008605091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06524996,"about_ca_topic_score_gemma":0.08178748,"domain_scores_codex":[0.999813,0.00003128792,0.000009464372,0.00005085127,0.00004018683,0.00005524798],"domain_scores_gemma":[0.999831,0.00003299941,0.00003840663,0.00001084895,0.00004225958,0.00004452966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001773794,0.0004545085,0.2857673,0.0003582288,0.0006817791,0.001375402,0.0003869788,0.4296101,0.2381187,0.0006667381,0.0004589555,0.04034754],"study_design_scores_gemma":[0.0001625709,0.0007269452,0.4354327,0.00001269583,0.0004267829,0.00008225001,0.000854342,0.5022984,0.05827004,0.0003291527,0.001348537,0.00005548113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991148,0.00009039092,0.0004891797,0.00001932337,0.00000474611,0.000007249913,0.0000196377,0.00001349605,0.0002412407],"genre_scores_gemma":[0.9996194,0.00003502056,0.0001914628,0.000006188026,0.000001299112,0.000003824006,0.00003060864,0.000001690199,0.0001104987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06524996,"threshold_uncertainty_score":0.1297404,"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."}}