{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003339868,0.0004847747,0.000167572,0.0006572307,0.0003217293,0.0006202526,0.0001780685,0.0002006229,0.0009111753],"category_scores_gemma":[0.0003539884,0.0001577891,0.0006560992,0.00146646,0.0002861245,0.0004979375,0.0006330778,0.0001948977,0.0001284705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635923,"about_ca_system_score_gemma":0.001517282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07060778,"about_ca_topic_score_gemma":0.07978823,"domain_scores_codex":[0.9998277,0.00001923603,0.00001277104,0.00003717679,0.00005798551,0.00004504715],"domain_scores_gemma":[0.9998094,0.00002332815,0.00005540703,0.00002045814,0.00007434969,0.00001700362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001643326,0.00004291449,0.9155408,0.0002456988,0.000181074,0.0006800688,0.0004247291,0.01666975,0.03045945,0.001872978,0.001825498,0.03189263],"study_design_scores_gemma":[0.00001078972,0.00003870485,0.9797574,0.00001651418,0.00008435344,0.00007266716,0.0002646177,0.008415847,0.005175383,0.0003188482,0.005820116,0.00002477091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924287,0.0003641598,0.0009387634,0.0003230258,0.00001985754,0.00001658059,0.001611913,0.00005652541,0.004240456],"genre_scores_gemma":[0.9972269,0.0004711763,0.0003704707,0.00008200804,0.00001160105,0.00001300967,0.001124925,0.00001075876,0.0006891461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07060778,"threshold_uncertainty_score":0.1403936,"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."}}