{"id":"W2528456533","doi":"10.1002/cjce.22704","title":"Effectively uptake arsenate from water by mesoporous sulphated zirconia: Characterization, adsorption, desorption, and uptake mechanism","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kunming University of Science and Technology; National Natural Science Foundation of China","keywords":"Arsenate; Adsorption; Mesoporous material; Desorption; Chemistry; Langmuir; Fourier transform infrared spectroscopy; Sorption; Freundlich equation; Nuclear chemistry; Inorganic chemistry; Arsenic; Chemical engineering; Organic chemistry; Catalysis","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":[0.00011474,0.0003598399,0.000308631,0.0002968456,0.0001259756,0.0001841415,0.0001997693,0.0002830261,0.0004510248],"category_scores_gemma":[0.000127375,0.000180073,0.0004002761,0.0001546572,0.0001689014,0.0002090596,0.0001205805,0.0001524747,0.0001863647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002266865,"about_ca_system_score_gemma":0.0001628691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00205407,"about_ca_topic_score_gemma":0.002506665,"domain_scores_codex":[0.9999267,0.000005775054,0.000006472949,0.00001517608,0.00002420912,0.00002169166],"domain_scores_gemma":[0.9999641,0.000006709558,0.000009736706,0.000003033021,0.00001098776,0.000005450968],"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":[0.00003108484,0.000004656738,0.0001612135,0.00001596804,0.000002683357,0.00001099024,0.000004629841,0.00004524189,0.9992428,0.00001254992,0.000006908714,0.0004613168],"study_design_scores_gemma":[0.000009362248,0.0001969936,0.003861941,0.000001914603,0.0000169151,0.00005782374,0.00001854201,0.001536224,0.9937748,0.00001645925,0.0005031394,0.00000583449],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964303,0.0003848771,0.002575653,0.00002256706,0.000009628831,0.00001565524,0.0001506519,0.00006085714,0.0003497967],"genre_scores_gemma":[0.9973701,0.000219117,0.001635712,0.00001060808,0.000004720193,0.000009134745,0.0001390455,0.000007780555,0.0006037689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00205407,"threshold_uncertainty_score":0.004084289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003699918094303879,"score_gpt":0.1564482453135848,"score_spread":0.1527483272192809,"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."}}