{"id":"W4229020758","doi":"10.1002/app.52520","title":"A green composite hydrogel based on xylan and lignin with adjustable mechanical properties, high swelling, excellent <scp>UV</scp> shielding, and antioxidation properties","year":2022,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Science Foundation of Shandong Province; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Swelling; Materials science; Composite number; Lignin; Thermogravimetric analysis; Composite material; Self-healing hydrogels; Fourier transform infrared spectroscopy; Xylan; Toughness; Swelling capacity; Scanning electron microscope; Dynamic mechanical analysis; Polymer; Chemical engineering; Polymer chemistry; Chemistry; Polysaccharide; Organic 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007327783,0.0002003662,0.0002325525,0.0001860816,0.000594961,0.0001024278,0.0004439512,0.00006047321,0.000005833532],"category_scores_gemma":[0.00001646183,0.0001463097,0.00003715639,0.0002936293,0.0003460289,0.00002713085,0.000239079,0.0002436616,0.000001426082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004900619,"about_ca_system_score_gemma":0.0003320755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008961251,"about_ca_topic_score_gemma":0.000007448131,"domain_scores_codex":[0.9982132,0.00004702162,0.000352013,0.0004455868,0.0006199321,0.0003222299],"domain_scores_gemma":[0.9990812,0.00001915667,0.0003075216,0.0003055489,0.00009579237,0.0001907864],"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":[0.0001639503,0.0001401303,0.000160874,0.00002375513,0.00002529645,0.000002991644,0.0002825531,0.0005762489,0.9968202,0.0002006572,0.00006560313,0.001537716],"study_design_scores_gemma":[0.0005755136,0.0008150559,0.0001209771,0.00004183433,0.00004484549,0.00008415612,0.0004340562,0.003721546,0.992304,0.00003466365,0.001701605,0.0001217844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964073,0.002062716,0.0004111169,0.0003375628,0.00004194303,0.0003002904,0.000005698461,0.00001179683,0.0004215507],"genre_scores_gemma":[0.9982741,0.0001069757,0.0008037713,0.0004265155,0.00007996704,0.00006496826,0.000003299769,0.0000248472,0.0002155127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004516261,"threshold_uncertainty_score":0.5966339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301112230908912,"score_gpt":0.2041714528111569,"score_spread":0.1911603305020677,"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."}}