{"id":"W2945444026","doi":"10.1016/j.envpol.2019.05.119","title":"Enhancement of aqueous sulfate formation by the coexistence of NO2/NH3 under high ionic strengths in aerosol water","year":2019,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Key Research and Development Program of China; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Sulfate; Aerosol; Aqueous solution; Chemistry; Ionic bonding; Environmental chemistry; Sulfate aerosol; Pollutant; Aqueous two-phase system; Ionic strength; Inorganic chemistry; Ion; Organic 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011013,0.00008469206,0.0001037958,0.000003555871,0.00003981634,0.000005619864,0.0001072037,0.00004442655,0.002410562],"category_scores_gemma":[0.000001793915,0.0000546901,0.0000309851,0.00003294915,0.0001029394,0.0001652963,0.00001480645,0.00006850169,0.0001273995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002362049,"about_ca_system_score_gemma":0.000004861106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004637977,"about_ca_topic_score_gemma":0.00005864596,"domain_scores_codex":[0.9992586,0.00003329255,0.0002371645,0.0001214528,0.0001919478,0.0001575714],"domain_scores_gemma":[0.9997143,0.00002380037,0.0001005671,0.0001367286,0.000001544822,0.0000230556],"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":[0.00009731249,0.0001012344,0.01215082,0.00004038435,0.0000137905,6.107457e-7,0.0006334315,0.01436651,0.9648703,0.000009251848,0.00008518289,0.007631143],"study_design_scores_gemma":[0.0004717479,0.0001342269,0.03596007,0.0000238578,0.000007211561,0.000003317341,0.0007293415,0.00221963,0.960123,0.00007447068,0.000149586,0.0001035227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987522,0.0001863011,0.000125486,0.0001385756,0.00006930189,0.0001748611,0.00007691041,0.000003506071,0.0004728033],"genre_scores_gemma":[0.999042,0.00009126945,0.0000503185,0.00004977758,0.00001038534,0.000001395339,0.0002509038,0.000001794728,0.0005021222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02380925,"threshold_uncertainty_score":0.9985014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004478701564776776,"score_gpt":0.1739268151049496,"score_spread":0.1694481135401728,"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."}}