{"id":"W3021928175","doi":"10.1177/0885328220922384","title":"Synthesis and characterization of a polymeric network made of polyethylene glycol and chitosan as a treatment with antibacterial properties for skin wounds","year":2020,"lang":"en","type":"article","venue":"Journal of Biomaterials Applications","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Universidad Autónoma del Estado de México; Consejo Nacional de Ciencia y Tecnología","keywords":"Biocompatibility; Polyethylene glycol; Chitosan; Materials science; Swelling; Self-healing hydrogels; Antibacterial activity; Nuclear chemistry; Polymer chemistry; Chemistry; Organic chemistry; Composite material; Bacteria","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001295804,0.0002739964,0.0001042141,0.0003155575,0.0001005283,0.0001359664,0.0001086846,0.0002333184,0.0004835413],"category_scores_gemma":[0.0001881814,0.00009516875,0.0001508511,0.000184069,0.00009894984,0.0001797212,0.00007159153,0.0001668832,0.00008680571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001598593,"about_ca_system_score_gemma":0.0001468303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004852927,"about_ca_topic_score_gemma":0.0009168416,"domain_scores_codex":[0.9999411,0.000007479514,0.000005815271,0.00001369363,0.00002300079,0.000008882432],"domain_scores_gemma":[0.9998769,0.00002210759,0.00004289423,0.00000659504,0.0000300206,0.00002143426],"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":[0.00001453582,0.000008307953,0.00003608632,0.0000287451,0.000001368368,0.00002284767,0.000003777583,0.00006740879,0.9989223,0.00001257851,0.000004950395,0.0008771259],"study_design_scores_gemma":[0.000006600048,0.0003462744,0.002668191,0.000008783861,0.00002092971,0.0001369666,0.000008374786,0.000783347,0.9947931,0.00001218752,0.001209517,0.000005778644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816483,0.002593338,0.01348113,0.0000696045,0.00002903457,0.0001594086,0.0003201758,0.00006465073,0.001634376],"genre_scores_gemma":[0.9806563,0.001162471,0.01595898,0.00004252634,0.000009265122,0.00009463077,0.00025271,0.00002008867,0.001802964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004852927,"threshold_uncertainty_score":0.00161761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.021363867530947,"score_gpt":0.2620399608065883,"score_spread":0.2406760932756413,"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."}}