{"id":"W4415885174","doi":"10.1002/pat.70395","title":"Regenerable Magnetic Iron Oxide Incorporated Chitosan Beads for Sulfate ( <scp> SO <sub>4</sub> <sup>2</sup> </scp> <sup>−</sup> ) Removal From Wastewater: Isotherms, Kinetics and Mechanism","year":2025,"lang":"en","type":"article","venue":"Polymers for Advanced Technologies","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Ministerstvo Životního Prostředí; Higher Education Commission, Pakistan; Ministerstvo Školství, Mládeže a Tělovýchovy","keywords":"Adsorption; Sulfate; Sorption; Chemisorption; Chitosan; Langmuir adsorption model; Kinetics; Fourier transform infrared spectroscopy","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":[0.0001011684,0.000322736,0.0001833599,0.0002612167,0.00009764014,0.0001553765,0.0002068757,0.0003012553,0.0008025897],"category_scores_gemma":[0.0001692225,0.0001387847,0.0002592153,0.0001762107,0.000150503,0.0001576348,0.0000978801,0.0001936547,0.000212988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002948314,"about_ca_system_score_gemma":0.0002211775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002461742,"about_ca_topic_score_gemma":0.003582411,"domain_scores_codex":[0.9999241,0.000005915193,0.000005649713,0.00001212395,0.00003341276,0.0000189662],"domain_scores_gemma":[0.9999058,0.00001384671,0.00002998925,0.000005182613,0.00003173107,0.00001335005],"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":[0.00005446351,0.00001069103,0.0001194574,0.00004171917,0.000003484656,0.00002265115,0.00000423773,0.0001109711,0.9985384,0.00002018454,0.00003712088,0.001036587],"study_design_scores_gemma":[0.000008212574,0.0001491377,0.002150166,0.000002926168,0.00001117597,0.00004128954,0.000008452149,0.00132891,0.9957734,0.000007638962,0.0005136525,0.000005052147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955627,0.0006554771,0.002633186,0.00005559083,0.00002518237,0.00002687233,0.0001488715,0.00008516001,0.000806998],"genre_scores_gemma":[0.9950807,0.0003321284,0.002526642,0.00003551576,0.000007026098,0.00001710004,0.0001571397,0.0000109549,0.001832823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002461742,"threshold_uncertainty_score":0.004894793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006704689405631416,"score_gpt":0.2070565778661794,"score_spread":0.200351888460548,"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."}}