{"id":"W4387108191","doi":"10.1016/j.ijbiomac.2023.127112","title":"Physicochemical fabrication of chitosan and algae with crosslinking glyoxal for cationic dye removal: Insight into optimization, kinetics, isotherms, and adsorption mechanism","year":2023,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Adsorption; Box–Behnken design; Glyoxal; Freundlich equation; Biocomposite; Cationic polymerization; Chemistry; Response surface methodology; Chitosan; Nuclear chemistry; Kinetics; Langmuir adsorption model; Chromatography; Chemical engineering; Materials science; Polymer chemistry; Organic chemistry; Composite number","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":[0.0003132803,0.0003758714,0.0001583695,0.0002525253,0.0002350764,0.0002375311,0.0002384962,0.0003832173,0.0005173933],"category_scores_gemma":[0.0004153773,0.0002173966,0.0004124396,0.0002277174,0.0002752075,0.0002579098,0.000197788,0.000382103,0.0001553297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006131612,"about_ca_system_score_gemma":0.0004646411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002778772,"about_ca_topic_score_gemma":0.006733885,"domain_scores_codex":[0.9998048,0.00001951218,0.00001605747,0.00003563458,0.00008857161,0.00003547901],"domain_scores_gemma":[0.9998093,0.00004116519,0.00006295604,0.00002192941,0.0000467917,0.00001786936],"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":[0.00001244706,0.000004854159,0.00005918755,0.00001880784,0.000002267258,0.00001361689,0.000008084846,0.00009604541,0.9993719,0.00003422336,0.000008438776,0.000370138],"study_design_scores_gemma":[0.0000025023,0.00004288069,0.0007969671,0.000001099713,0.000005227675,0.00003041604,0.000006834911,0.0004306827,0.9983724,0.000009365293,0.0002979537,0.000003756146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912831,0.0005782921,0.006892879,0.0001012729,0.00002019094,0.00003855065,0.00010898,0.00005965759,0.0009171055],"genre_scores_gemma":[0.9881274,0.0004883663,0.009853268,0.00004465359,0.000006319163,0.00003138697,0.00009551954,0.0000208448,0.001332192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002778772,"threshold_uncertainty_score":0.005525172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282606589233296,"score_gpt":0.2521640691671954,"score_spread":0.2393380032748625,"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."}}