{"id":"W2301434332","doi":"10.1021/acs.est.5b04376","title":"Hydrofluorocarbon (HFC) Emissions in China: An Inventory for 2005–2013 and Projections to 2050","year":2016,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Colorado State University; Massachusetts Institute of Technology; National Aeronautics and Space Administration","keywords":"Greenhouse gas; China; Montreal Protocol; Global-warming potential; Environmental science; Global warming; Emission inventory; Natural resource economics; Consumption (sociology); Environmental engineering; Environmental protection; Climate change; Ozone; Ozone layer; Economics; Meteorology; Geography; Air quality index","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":[0.000422826,0.001146668,0.0002985206,0.002285776,0.0003315124,0.0005928235,0.0004313635,0.0002797879,0.001179908],"category_scores_gemma":[0.0003211823,0.0004300271,0.001564792,0.00362666,0.0002303437,0.0009116247,0.0004656106,0.000242444,0.0002396201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004312456,"about_ca_system_score_gemma":0.003706369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2966816,"about_ca_topic_score_gemma":0.2136974,"domain_scores_codex":[0.9998255,0.00001231089,0.0000178603,0.00003155179,0.00007521526,0.00003758775],"domain_scores_gemma":[0.9997647,0.00001300342,0.00004259999,0.00001421138,0.0001386154,0.0000268987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005967042,0.0001399005,0.5395519,0.001414102,0.001606417,0.001684358,0.0006890039,0.2754631,0.01411763,0.005057871,0.02405263,0.1356264],"study_design_scores_gemma":[0.00007324741,0.0001536123,0.7765024,0.0002536574,0.0009441754,0.0004003132,0.000763225,0.1441935,0.00895507,0.001995734,0.0655596,0.000205421],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9137884,0.003579436,0.007193231,0.0005546922,0.00005269228,0.00008057272,0.06361211,0.0004687566,0.01067008],"genre_scores_gemma":[0.947852,0.005207836,0.005380652,0.0001125361,0.00002454796,0.0001000852,0.03735028,0.00004297746,0.003929046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2966816,"threshold_uncertainty_score":0.5899096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005004782678577109,"score_gpt":0.2165975440119524,"score_spread":0.2115927613333753,"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."}}