{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006764081,0.0001133404,0.000129923,0.00001495032,0.00005900819,0.0000183822,0.0003345425,0.00005269687,0.0001945155],"category_scores_gemma":[0.00005357134,0.0001120311,0.00003172911,0.0001202981,0.00008785975,0.0001057587,0.000412984,0.0001644372,0.0001414142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000602759,"about_ca_system_score_gemma":0.000003677896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006157259,"about_ca_topic_score_gemma":0.000001689829,"domain_scores_codex":[0.999391,0.00001019278,0.0001612738,0.0001494822,0.0001169554,0.0001710648],"domain_scores_gemma":[0.9990928,0.0001083244,0.00002943601,0.0006557967,0.000006735651,0.0001069336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003298545,0.00006207137,0.001184024,0.00001562339,0.00002684483,9.503761e-8,0.0006121607,0.001496386,0.9872885,0.001427976,0.006153326,0.001729684],"study_design_scores_gemma":[0.002239296,0.00007684674,0.01201166,0.000154212,0.0001202986,0.00002419829,0.0004704832,0.59218,0.1798557,0.001096736,0.2100817,0.001688848],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892882,0.0005413376,0.0008126649,0.001484346,0.00004405333,0.00019299,0.00002293082,0.0001134754,0.007499992],"genre_scores_gemma":[0.9961421,0.0002132225,0.00316484,0.0001064426,0.000006693689,0.00003894937,0.00004244298,0.00001380552,0.0002714873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8074328,"threshold_uncertainty_score":0.4568496,"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."}}