{"id":"W4386365360","doi":"10.1021/acs.est.3c01898","title":"Anthropogenic Chloroform Emissions from China Drive Changes in Global Emissions","year":2023,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Natural Environment Research Council; Commonwealth Scientific and Industrial Research Organisation; H2020 Energy; Bureau of Meteorology, Australian Government; Department for Business, Energy and Industrial Strategy, UK Government; Department of Climate Change, Energy, the Environment and Water; National Aeronautics and Space Administration; National Oceanic and Atmospheric Administration; Sight Research UK","keywords":"Montreal Protocol; Environmental science; Greenhouse gas; Emission inventory; Ozone; Atmospheric emissions; Ozone layer; China; Environmental engineering; Environmental protection; Environmental chemistry; Atmospheric sciences; Meteorology; Chemistry; Air quality index; Geography; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001889433,0.000163114,0.0001742581,0.0001051687,0.0005319538,0.00002569098,0.0006764301,0.0001491227,0.006463792],"category_scores_gemma":[0.00003565781,0.0001332616,0.00003368991,0.002448553,0.001588004,0.0002220219,0.0001962375,0.0001924756,0.001568206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007280094,"about_ca_system_score_gemma":0.00005272153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183907,"about_ca_topic_score_gemma":0.001922898,"domain_scores_codex":[0.9981911,0.00001404,0.0001758212,0.0005443124,0.0003517721,0.0007229198],"domain_scores_gemma":[0.9994107,0.00002311936,0.00006488732,0.0003216068,0.000001783085,0.0001779416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005451387,0.0000270913,0.9220556,7.461821e-7,0.000002975588,0.00004819952,0.0001721885,0.0002435629,0.008144413,0.0000361768,0.0000867304,0.06917688],"study_design_scores_gemma":[0.0001734183,0.0001077698,0.9841952,0.00001273538,0.00000519079,0.00001439796,0.003034028,0.002964584,0.003767895,0.002527278,0.003012736,0.0001847674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934309,0.0002527738,0.00001515091,0.002536326,0.0002340222,0.0001439241,0.0001728763,0.0002135664,0.003000476],"genre_scores_gemma":[0.9984953,0.0007203578,0.0003792383,0.00007314711,0.00002881626,0.000004699533,0.00007095197,0.000003358037,0.0002241058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06899211,"threshold_uncertainty_score":0.9992092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006864484206575567,"score_gpt":0.2260520022929794,"score_spread":0.2191875180864039,"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."}}