{"id":"W2986536508","doi":"10.1080/00986445.2019.1689126","title":"Batch and fixed-bed mode mercury uptake by a modified adsorbent","year":2019,"lang":"en","type":"article","venue":"Chemical Engineering Communications","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Adsorption; Sorbent; Thermal diffusivity; Mercury (programming language); Sulfur; Chemistry; Aqueous solution; Mass transfer; Activated carbon; Chemical engineering; Diffusion; Surface diffusion; Ion; Kinetics; Analytical Chemistry (journal); Inorganic chemistry; Chromatography; Thermodynamics; Physical chemistry; Organic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002029001,0.0004841886,0.0004546105,0.0004077066,0.0002675586,0.0003131853,0.0005503925,0.0004618858,0.001055372],"category_scores_gemma":[0.0002675208,0.0002106192,0.0006088092,0.0003410212,0.0002175423,0.0002957478,0.0001947077,0.0003884842,0.0003610321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004112829,"about_ca_system_score_gemma":0.0002242452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004795051,"about_ca_topic_score_gemma":0.007004392,"domain_scores_codex":[0.9997025,0.00002910437,0.00002193869,0.00008243004,0.0001163689,0.000047662],"domain_scores_gemma":[0.9998717,0.00003030961,0.00001374057,0.0000167615,0.00005509953,0.00001240802],"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":[0.000212694,0.00004638946,0.0004108736,0.00008573927,0.00001553866,0.00002940998,0.00003245478,0.0002040399,0.9967211,0.00003130506,0.00004532954,0.002165135],"study_design_scores_gemma":[0.000007283596,0.0006011676,0.003833683,0.000002281039,0.00002108431,0.00004363028,0.00004014438,0.00208211,0.9928329,0.00001678841,0.0005068809,0.00001209323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975508,0.0003480904,0.001188798,0.00002111366,0.00003140621,0.00001742345,0.0001798541,0.00005608542,0.0006065312],"genre_scores_gemma":[0.9918061,0.0004786115,0.004369383,0.00003029578,0.00001803366,0.00003036543,0.0003025563,0.0000166117,0.002947845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004795051,"threshold_uncertainty_score":0.00953424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320565613555611,"score_gpt":0.2451303770462973,"score_spread":0.2319247209107412,"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."}}