{"id":"W4223448266","doi":"10.3390/nano12081284","title":"Electrospun Cellulose-Acetate/Chitosan Fibers for Humic-Acid Removal: Improved Efficiency and Robustness with a Core-Sheath Design","year":2022,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Adsorption; Cellulose; Chemical engineering; Materials science; Ultimate tensile strength; Chitosan; Cellulose acetate; Electrospinning; Hydrolysis; Humic acid; Fabrication; Composite material; Polymer; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001225802,0.0004114464,0.0006251876,0.0001405097,0.0009504273,0.0002182555,0.0006927692,0.0001254868,0.0004942811],"category_scores_gemma":[0.00004830882,0.0003504566,0.00007375491,0.000532408,0.0003896956,0.0001566268,0.0002462862,0.0001185597,0.00000853349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001692504,"about_ca_system_score_gemma":0.0003063062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003022053,"about_ca_topic_score_gemma":0.000002608831,"domain_scores_codex":[0.9966417,0.0002345791,0.0006498757,0.001008386,0.0004976148,0.0009678305],"domain_scores_gemma":[0.9984583,0.000241742,0.0003972156,0.000602934,0.00007851172,0.0002213167],"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":[0.0007061216,0.0001570177,0.00001211723,0.00006876106,0.00001963446,0.00001154322,0.0001817005,0.00008881996,0.997036,0.0007752121,0.0006313448,0.000311678],"study_design_scores_gemma":[0.001630186,0.001655902,0.00002908238,0.00001510263,0.00007608099,0.0002996666,0.0000547909,0.001610262,0.9911664,0.0005882852,0.002376323,0.0004979296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8133155,0.0003370887,0.1821139,0.0003014097,0.0006036962,0.002542116,0.00032185,0.0003544372,0.0001100991],"genre_scores_gemma":[0.7284517,0.00002879238,0.2673414,0.0002710179,0.0001842501,0.002991656,0.0001542997,0.0001200058,0.0004569263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08522753,"threshold_uncertainty_score":0.9998947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815515658514363,"score_gpt":0.246402253381879,"score_spread":0.2282470967967354,"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."}}