{"id":"W2100423644","doi":"10.1088/1748-9326/10/11/114015","title":"Satellite measurements oversee China’s sulfur dioxide emission reductions from coal-fired power plants","year":2015,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Tsinghua University; National Natural Science Foundation of China; National Key Research and Development Program of China; National Aeronautics and Space Administration","keywords":"Ozone Monitoring Instrument; Environmental science; Flue-gas desulfurization; Sulfur dioxide; Context (archaeology); Coal; Power station; Flue gas; Emission inventory; China; Environmental engineering; Meteorology; Waste management; Ozone; Engineering; Geography; Air quality index; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006015347,0.0001854242,0.0001557733,0.0000159997,0.0002974593,0.00007404545,0.0003341598,0.00008290291,0.003770901],"category_scores_gemma":[0.00007462838,0.0001646977,0.0000631645,0.00009896827,0.0003337555,0.0002985786,0.00006151514,0.000401997,0.001133739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031338,"about_ca_system_score_gemma":0.00004251858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001566181,"about_ca_topic_score_gemma":0.00003422382,"domain_scores_codex":[0.9971284,0.0002117104,0.00021277,0.0004682638,0.001382819,0.0005959884],"domain_scores_gemma":[0.998955,0.00008585752,0.00005482517,0.0003443691,0.000005058104,0.0005549598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002629171,0.0001030385,0.480936,0.000004176255,0.0000578745,0.0001145474,0.0009502089,0.0006691199,0.4924359,1.881631e-7,0.02036886,0.004097221],"study_design_scores_gemma":[0.000853979,0.0001024147,0.8699738,0.00004270955,0.000008050589,0.00001750213,0.001445199,0.00007659454,0.1003892,0.0001278444,0.02663982,0.0003228892],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928422,0.0005938912,0.00002185902,0.001439066,0.0002553941,0.000190839,0.0001985423,0.00003054482,0.00442764],"genre_scores_gemma":[0.9970949,0.0001352628,0.0003951,0.0002452836,0.0001845745,0.000003197183,0.0005067448,0.000009287854,0.001425705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3920467,"threshold_uncertainty_score":0.999644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06474407087808734,"score_gpt":0.2699995882161767,"score_spread":0.2052555173380894,"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."}}