{"id":"W3043172715","doi":"10.1021/acs.biomac.0c00760","title":"Natural Polymer-Based Antimicrobial Hydrogels without Synthetic Antibiotics as Wound Dressings","year":2020,"lang":"en","type":"review","venue":"Biomacromolecules","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":333,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Self-healing hydrogels; Antimicrobial; Antibiotics; Natural polymers; Wound dressing; Wound healing; Broad spectrum; Antibacterial activity; Nanotechnology; Chemistry; Materials science; Polymer; Medicine; Microbiology; Bacteria; Combinatorial chemistry; Surgery; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002154084,0.0006917317,0.0006080962,0.001359265,0.0001499552,0.0004825994,0.000351804,0.0005442771,0.002192778],"category_scores_gemma":[0.0001987017,0.00022356,0.0003204748,0.001109234,0.0001764151,0.0007260339,0.000346776,0.000678875,0.001275504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002508842,"about_ca_system_score_gemma":0.0003372377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000334177,"about_ca_topic_score_gemma":0.0008277419,"domain_scores_codex":[0.999904,0.00001516622,0.00001056892,0.00001804026,0.00004041371,0.00001178375],"domain_scores_gemma":[0.99994,0.00002498286,0.00001511468,0.000001797555,0.0000116503,0.000006369156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008936287,0.0001866663,0.0001340723,0.03808315,0.00008916418,0.0003698381,0.00008801478,0.0006886681,0.06239014,0.006743715,0.01191364,0.8792235],"study_design_scores_gemma":[0.00001322827,0.0002412395,0.0007023269,0.002559283,0.0001012571,0.001127632,0.0000440691,0.0002211295,0.01791562,0.0009286599,0.9761219,0.00002359864],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008989822,0.9965913,0.000334562,0.00005553936,0.0001163179,0.000008506685,0.00001877933,0.000008409159,0.001967526],"genre_scores_gemma":[0.004954508,0.9921219,0.0005873765,0.0001088598,0.00008897589,0.00001781263,0.00004117176,0.000002705912,0.002076694],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002192778,"threshold_uncertainty_score":0.007335544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03182543324476761,"score_gpt":0.3459424271588986,"score_spread":0.314116993914131,"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."}}