{"id":"W2049747417","doi":"10.5572/kosae.2010.26.5.507","title":"Emission Characteristics of Mercury in Zn Smelting Process","year":2010,"lang":"en","type":"article","venue":"Journal of Korean Society for Atmospheric Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Smelting; Zinc; Zinc smelting; Emission inventory; Coal; Environmental science; Flue gas; Combustion; Metallurgy; Waste management; Environmental chemistry; Chemistry; Environmental engineering; Engineering; Air pollution; Materials science","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":[],"consensus_categories":[],"category_scores_codex":[0.0006600881,0.0001460129,0.0003202762,0.000002749713,0.00008233957,0.000008847764,0.0001858866,0.00008796099,0.0005313128],"category_scores_gemma":[0.0000880794,0.0001170377,0.0003027042,0.0001069454,0.0002079787,0.000187496,0.00006933625,0.0002671519,0.000005324953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198979,"about_ca_system_score_gemma":0.0000204982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009810686,"about_ca_topic_score_gemma":0.000001658063,"domain_scores_codex":[0.9985791,0.0000155352,0.0006461045,0.00013716,0.000398852,0.0002232516],"domain_scores_gemma":[0.9989361,0.0000873286,0.0007081127,0.0001331167,0.00001449134,0.0001209087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009035852,0.000535555,0.7074511,0.0001206755,0.0001174756,0.000004587021,0.01026723,0.0007924724,0.2237711,0.0000168327,0.003766638,0.05306599],"study_design_scores_gemma":[0.002889415,0.0007730343,0.9209003,0.0001837317,0.0002169263,0.00006175863,0.00774976,0.003562432,0.0289213,0.0009323745,0.03317566,0.0006332721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977577,0.00006661755,0.001256682,0.0002558169,0.0001625092,0.0001820267,0.000007166905,0.000003900628,0.0003075716],"genre_scores_gemma":[0.9746498,0.0002805002,0.02466336,0.0001020078,0.00009504538,0.000007709879,0.000002598013,0.00001716723,0.0001818231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2134492,"threshold_uncertainty_score":0.5817503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008863293396692742,"score_gpt":0.2508053623869498,"score_spread":0.2419420689902571,"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."}}