{"id":"W4200148507","doi":"10.1016/j.surfin.2021.101698","title":"Magnetic crosslinked chitosan-tripolyphosphate/MgO/Fe3O4 nanocomposite for reactive blue 19 dye removal: Optimization using desirability function approach","year":2021,"lang":"en","type":"article","venue":"Surfaces and Interfaces","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"King Saud University","keywords":"Adsorption; Materials science; Freundlich equation; Aqueous solution; Nanocomposite; Langmuir adsorption model; Chemical engineering; Box–Behnken design; Chitosan; Langmuir; Biomaterial; Magnetic nanoparticles; Nuclear chemistry; Chromatography; Response surface methodology; Nanoparticle; Composite material; Nanotechnology; Organic chemistry; 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":[0.0002002056,0.0003533975,0.0002446474,0.0002784905,0.0001813314,0.000239838,0.0003234824,0.0003238947,0.0007769339],"category_scores_gemma":[0.0002008421,0.0002428732,0.0002580716,0.0002101334,0.0001480667,0.0001811205,0.0001543886,0.0003029624,0.000199776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003890759,"about_ca_system_score_gemma":0.0002239925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001426753,"about_ca_topic_score_gemma":0.004598914,"domain_scores_codex":[0.9998203,0.00002094039,0.00001358616,0.00003992704,0.00007605802,0.00002917945],"domain_scores_gemma":[0.9999167,0.00001566636,0.00002533494,0.000004766065,0.00002476556,0.0000127536],"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":[0.00004821953,0.00002386341,0.00004542949,0.00003054139,0.000004293839,0.00001705504,0.000006529825,0.0001787504,0.9983729,0.000027092,0.00001647954,0.001228847],"study_design_scores_gemma":[0.000004712347,0.0000853858,0.0003683787,0.000001185547,0.00001087123,0.0000202307,0.000004456423,0.001047341,0.9980595,0.000006944971,0.0003876473,0.000003376188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896881,0.000785596,0.007834237,0.00007241388,0.00002190698,0.0000291548,0.00006979593,0.00009506859,0.001403678],"genre_scores_gemma":[0.9883451,0.0005036165,0.00810875,0.00002850997,0.000007395767,0.00002501882,0.00008395738,0.00002418468,0.002873342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001426753,"threshold_uncertainty_score":0.002836883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226512295767478,"score_gpt":0.2488356976860162,"score_spread":0.2261844681092684,"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."}}