{"id":"W4399172791","doi":"10.1002/macp.202400088","title":"Enhancing the Properties of Chitosan–Pectin Hydrogels With Cellulose Nanowhiskers for Potential Applications in Wound Dressings","year":2024,"lang":"en","type":"article","venue":"Macromolecular Chemistry and Physics","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Investigaciones Científicas y Técnicas; Universidad Nacional de Mar del Plata; University of Alberta","keywords":"Self-healing hydrogels; Chitosan; Pectin; Cellulose; Polymer; Swelling; Materials science; Wound dressing; Bacterial cellulose; Chemical engineering; Composite material; Polymer chemistry; 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":[0.0001045308,0.0001294005,0.0001502855,0.000006007147,0.0001550584,0.00008151254,0.000129432,0.00003223921,0.000004021289],"category_scores_gemma":[0.00001236201,0.00008352102,0.00004299962,0.0001693988,0.0003237287,0.00007653089,0.00008005994,0.0001139064,6.967696e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001395392,"about_ca_system_score_gemma":0.00006826346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001276556,"about_ca_topic_score_gemma":0.000001273141,"domain_scores_codex":[0.9991586,0.00001895888,0.0001526858,0.0002763061,0.0001713887,0.0002221156],"domain_scores_gemma":[0.9996653,0.0000530031,0.00004876882,0.0001739748,0.00002685752,0.00003212763],"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":[0.00002692676,0.00003348597,0.000008471,0.0008887362,0.00002022264,0.000006988142,0.0006719308,0.0001065733,0.9975203,0.0001177293,0.000002009432,0.000596648],"study_design_scores_gemma":[0.0001414276,0.0000180083,0.000003104622,0.0001830601,0.00002453185,0.000006958443,0.0003895641,0.0004203456,0.9976444,0.0009049916,0.0001551359,0.0001084523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534752,0.002659919,0.04311149,0.00008595292,0.00001677723,0.0003625838,0.00001913782,0.00002710141,0.0002418527],"genre_scores_gemma":[0.9985569,0.00004425873,0.001008063,0.000005824036,0.00007435695,0.0001962299,0.000007509386,0.00001785704,0.00008902822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04508169,"threshold_uncertainty_score":0.3405888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008932913569144168,"score_gpt":0.2434626038185953,"score_spread":0.2345296902494511,"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."}}