{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001591386,0.000363299,0.0001227721,0.0001320473,0.00005959851,0.0001905306,0.0001157707,0.0002211425,0.000472082],"category_scores_gemma":[0.0001969935,0.0001061952,0.0001611249,0.0001269541,0.0001019253,0.0002093179,0.0001187819,0.0002474803,0.0001307509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001689692,"about_ca_system_score_gemma":0.0001258719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000372933,"about_ca_topic_score_gemma":0.0007837516,"domain_scores_codex":[0.9999337,0.000008651437,0.000005964254,0.00001153089,0.0000262221,0.00001396002],"domain_scores_gemma":[0.9998728,0.00002821389,0.00004423721,0.000009118677,0.00002167891,0.00002397983],"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":[0.00001009184,0.000005757148,0.0000250344,0.00001665452,0.000001148185,0.00001053833,0.000002238322,0.00005018579,0.9993507,0.00001257964,0.000004064823,0.0005109343],"study_design_scores_gemma":[0.000001911858,0.00005276442,0.0005626031,0.000001890579,0.000003636362,0.00002882051,0.000003144954,0.0005167603,0.9985684,0.000006877659,0.0002509311,0.00000218325],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917024,0.001151787,0.005956751,0.00004570162,0.00002606952,0.00002668387,0.00008647148,0.00003991682,0.0009641824],"genre_scores_gemma":[0.9940393,0.0005386834,0.004510646,0.00002811616,0.0000066835,0.00001380254,0.00005443068,0.00001182462,0.0007966799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000472082,"threshold_uncertainty_score":0.001579225,"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."}}