{"id":"W1813458807","doi":"10.1002/cjce.22284","title":"Kinetics study on the capture of elemental mercury in flue gas by KI‐impregnated clays","year":2015,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Chemisorption; Chemistry; Adsorption; Physisorption; Diffusion; Thermodynamics; Endothermic process; Kinetic energy; Rate-determining step; Inorganic chemistry; Physical chemistry; Catalysis; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00023979,0.000329702,0.0003316095,0.0003393186,0.0001842887,0.0002427424,0.0003304096,0.000350252,0.0008053465],"category_scores_gemma":[0.0003744949,0.000183718,0.0004046313,0.0002140185,0.0002119015,0.0003832423,0.0001451681,0.0003377328,0.000231897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000464985,"about_ca_system_score_gemma":0.0001884354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007821008,"about_ca_topic_score_gemma":0.006485842,"domain_scores_codex":[0.9998407,0.00001572437,0.000009009967,0.00002858053,0.00005913118,0.00004676515],"domain_scores_gemma":[0.9998742,0.00005360312,0.00001959832,0.000006895151,0.00003233657,0.0000134069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001432961,0.00002613229,0.0006904693,0.0001074256,0.00001492634,0.00005795352,0.00006661058,0.0008053259,0.9965154,0.00006842413,0.00003026136,0.001473709],"study_design_scores_gemma":[0.000007959913,0.0002299672,0.003122721,0.000006018631,0.00001733715,0.00005206374,0.00004908913,0.0124119,0.9836933,0.00001756432,0.000378425,0.00001369072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970313,0.0003533457,0.001845417,0.00002584828,0.000007231788,0.0000185933,0.0001302599,0.00004275306,0.0005450501],"genre_scores_gemma":[0.997689,0.000245473,0.001027726,0.000009291817,0.00000193931,0.000009055305,0.00009523827,0.000007311436,0.0009149804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007821008,"threshold_uncertainty_score":0.01555091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717544301655688,"score_gpt":0.217566072600677,"score_spread":0.2003906295841201,"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."}}