{"id":"W3155109137","doi":"10.1021/acsomega.1c00480","title":"Green Electrospun Membranes Based on Chitosan/Amino-Functionalized Nanoclay Composite Fibers for Cationic Dye Removal: Synthesis and Kinetic Studies","year":2021,"lang":"en","type":"article","venue":"ACS Omega","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Iran's National Elites Foundation; Sharif University of Technology","keywords":"Vinyl alcohol; Nanocomposite; Membrane; Materials science; Chemical engineering; Adsorption; Cationic polymerization; Electrospinning; Chitosan; Langmuir adsorption model; Nanofiber; Thermal stability; Montmorillonite; Polymer chemistry; Polymer; Composite material; Chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003093589,0.0002473545,0.0003949171,0.0001127913,0.0004556677,0.00008588467,0.0002544078,0.0001190678,0.00006591154],"category_scores_gemma":[0.0002758247,0.0002217058,0.00008945917,0.0005165688,0.0003065476,0.00009432003,0.00006881536,0.0000995485,0.0000342137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089738,"about_ca_system_score_gemma":0.000170271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003340328,"about_ca_topic_score_gemma":0.00003384614,"domain_scores_codex":[0.9979993,0.0001054125,0.0003763641,0.0006576709,0.0004270027,0.0004342115],"domain_scores_gemma":[0.997394,0.001636942,0.0001538238,0.000493522,0.0002010477,0.0001206681],"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":[0.0000936464,0.0001071284,0.0000642294,0.000163332,0.00005720201,0.000005339255,0.00006144385,0.00002084811,0.9947474,0.001913145,0.00100772,0.001758549],"study_design_scores_gemma":[0.000813315,0.000142811,0.001066609,0.00008435574,0.0001466343,0.00004242953,0.00002607928,0.0003610612,0.9765283,0.003587155,0.01691367,0.00028751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617754,0.005451456,0.005655434,0.02240574,0.0007093032,0.00143423,0.0002157731,0.0004240588,0.001928656],"genre_scores_gemma":[0.9356522,0.0005450116,0.0573932,0.002702582,0.0002632555,0.001165648,0.0001534696,0.00006582567,0.002058797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05173777,"threshold_uncertainty_score":0.9040899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751472972798629,"score_gpt":0.2741867222063906,"score_spread":0.2566719924784043,"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."}}