{"id":"W4387521050","doi":"10.1016/j.scitotenv.2023.167763","title":"Meteorological and anthropogenic drivers of surface ozone change in the North China Plain in 2015–2021","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ozone; Environmental science; Relative humidity; Atmospheric sciences; Climatology; Air pollution; Chemical transport model; China; Pollution; Meteorology; Geography; Chemistry; Geology","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":[0.0003324825,0.0002549666,0.0001707107,0.0003562995,0.0002801779,0.000561009,0.0003388407,0.0003578576,0.00115815],"category_scores_gemma":[0.0005289228,0.0001635971,0.000692222,0.0004832858,0.0002285099,0.0005344682,0.0005636705,0.0003241359,0.0001133128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392755,"about_ca_system_score_gemma":0.001249502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1277277,"about_ca_topic_score_gemma":0.1021915,"domain_scores_codex":[0.9998868,0.00001554174,0.00001061401,0.0000340464,0.00002375466,0.00002935014],"domain_scores_gemma":[0.9998384,0.00001620288,0.00003931977,0.00001276533,0.00005191031,0.00004138734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001887996,0.00009113686,0.927765,0.0001642088,0.0003391246,0.0006449026,0.0002833261,0.04928138,0.005061873,0.001831816,0.003951783,0.01039673],"study_design_scores_gemma":[0.00002588705,0.00002720214,0.9082711,0.00003190384,0.000121366,0.00005181913,0.0003512793,0.08514544,0.0008711654,0.0005680032,0.004506276,0.00002850761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946485,0.0003409773,0.0004168894,0.000777344,0.00004140234,0.0000110422,0.002615517,0.0000543641,0.00109399],"genre_scores_gemma":[0.9976075,0.0001470136,0.0001607957,0.00004680442,0.00001629045,0.000008399057,0.001676782,0.000005939431,0.0003304383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1277277,"threshold_uncertainty_score":0.2539685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01592523352517893,"score_gpt":0.2140143307908869,"score_spread":0.1980890972657079,"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."}}