{"id":"W2325065014","doi":"10.1021/es3035544","title":"Correction to Roles of Sulfuric Acid in Elemental Mercury Removal by Activated Carbon and Sulfur-impregnated Activated Carbon","year":2012,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Activated carbon; Sulfur; Sulfuric acid; Mercury (programming language); Elemental mercury; Chemistry; Environmental chemistry; Inorganic chemistry; Waste management; Adsorption; Organic chemistry; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002035258,0.002321764,0.00141814,0.003324766,0.003080908,0.002433182,0.002781105,0.004347764,0.0789974],"category_scores_gemma":[0.01900068,0.0009631834,0.001775656,0.002531975,0.001537381,0.002232824,0.001645741,0.007039599,0.03477274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00360335,"about_ca_system_score_gemma":0.004031706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01000468,"about_ca_topic_score_gemma":0.01420926,"domain_scores_codex":[0.9958776,0.0002919324,0.0005562319,0.0005104419,0.002304761,0.0004590568],"domain_scores_gemma":[0.9846597,0.002563269,0.0007944257,0.001109341,0.01015521,0.0007180763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001352393,0.00002907974,0.0001549947,0.0003428503,0.0000204795,0.0004140005,0.00005798986,0.0001880904,0.001529873,0.001440358,0.9703625,0.02532459],"study_design_scores_gemma":[0.000028463,0.00003777329,0.000584236,0.0001603103,0.0000335338,0.0003749551,0.00006365716,0.0003499547,0.00397086,0.001010497,0.9933429,0.00004279037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00088639,0.002015131,0.001904535,0.01934407,0.9686542,0.00004730027,0.001088245,0.0006669767,0.005393107],"genre_scores_gemma":[0.04387869,0.02145329,0.01170838,0.03512166,0.187992,0.0002865024,0.004959908,0.003829844,0.6907699],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0789974,"threshold_uncertainty_score":0.2642726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006268512742158895,"score_gpt":0.2266741217036131,"score_spread":0.2204056089614542,"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."}}