{"id":"W4319318931","doi":"10.5194/acp-2022-850","title":"The effect of anthropogenic emission, meteorological factors, and carbon dioxide on the surface ozone increase in China from 2008 to 2018 during the East Asia summer monsoon season","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; Nanjing University; Emory University","keywords":"Environmental science; China; Climatology; Monsoon; Ozone; Vegetation (pathology); East Asia; Atmospheric sciences; East Asian Monsoon; Geography; Meteorology","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":[0.0003404397,0.0005343115,0.0002740494,0.0003854531,0.0003427424,0.0005103959,0.0003335066,0.0002802358,0.0004862712],"category_scores_gemma":[0.0003244866,0.0001928072,0.0007704583,0.0005150447,0.0002160304,0.0004801119,0.0004646852,0.0002661524,0.00006125866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008747202,"about_ca_system_score_gemma":0.0008121255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08119319,"about_ca_topic_score_gemma":0.09609685,"domain_scores_codex":[0.999843,0.00002067164,0.00001269236,0.00004841725,0.0000366591,0.00003848133],"domain_scores_gemma":[0.9997718,0.00003513989,0.00005050112,0.0000204299,0.00007576541,0.00004631446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001108729,0.00005178517,0.9775606,0.00007001036,0.0002455497,0.000236246,0.0001927628,0.008849079,0.004472281,0.0001400235,0.0005065072,0.007564354],"study_design_scores_gemma":[0.000006000294,0.00003200491,0.9877453,0.000006531078,0.00008645629,0.00002109861,0.0001505347,0.01075232,0.0007293049,0.0000410738,0.0004207225,0.000008715294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990091,0.0001580741,0.0001460617,0.00006959078,0.000008456575,0.000003401468,0.0002763197,0.00001247445,0.0003164056],"genre_scores_gemma":[0.9993093,0.00008829063,0.00008862139,0.0000168445,0.000004911876,0.000003843936,0.0003331942,0.000003002968,0.0001520559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08119319,"threshold_uncertainty_score":0.1614412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594280198237981,"score_gpt":0.2280536803571596,"score_spread":0.2121108783747798,"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."}}