{"id":"W4220993285","doi":"10.1016/j.scitotenv.2022.154634","title":"Atmospheric transport drives regional interactions of ozone pollution in China","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; Ministry of Ecology and Environment, The People’s Republic of China; National Natural Science Foundation of China","keywords":"Ozone; Environmental science; Pollution; Delta; Atmospheric sciences; Monsoon; Tropospheric ozone; China; Air pollution; East Asian Monsoon; Chemical transport model; Climatology; Chemistry; Geography; Meteorology; Geology; Ecology","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":[0.0004283993,0.0003547582,0.0005523846,0.00114042,0.0009108369,0.001314066,0.0005453869,0.0005003354,0.002227758],"category_scores_gemma":[0.0007470407,0.0003854344,0.001236795,0.001580248,0.0004327676,0.0007047954,0.001070496,0.0003823612,0.0002550679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002035142,"about_ca_system_score_gemma":0.001704465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.172608,"about_ca_topic_score_gemma":0.1798386,"domain_scores_codex":[0.9996623,0.00005789789,0.00002157912,0.00008999726,0.00004226934,0.0001259585],"domain_scores_gemma":[0.9994259,0.0001166653,0.0001306765,0.00004612903,0.0001140714,0.0001666486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001567464,0.00006617197,0.9849128,0.00003280308,0.0004393389,0.0005271418,0.0007000521,0.003305425,0.00514768,0.0008933311,0.0007276759,0.003090849],"study_design_scores_gemma":[0.00001015269,0.00001761441,0.9943067,0.000003399145,0.0001157683,0.00002900277,0.0005283807,0.004277316,0.0001785347,0.0001726249,0.0003447012,0.00001569763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998978,0.0001148255,0.00005182036,0.000165674,0.000007981985,0.000002287976,0.0001582568,0.00001018354,0.0005110424],"genre_scores_gemma":[0.9994118,0.00005289088,0.00001814815,0.00001576303,0.000005773258,0.000001506182,0.0001080314,0.000003372319,0.0003827904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.172608,"threshold_uncertainty_score":0.3432065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007402345168755924,"score_gpt":0.1833870427977144,"score_spread":0.1759846976289584,"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."}}