{"id":"W4398175249","doi":"10.1021/acs.biomac.4c00080","title":"Self-Healing Guar Gum-Based Nanocomposite Hydrogel Promotes Infected Wound Healing through Photothermal Antibacterial Therapy","year":2024,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Guar gum; Photothermal therapy; Wound healing; Borax; Tannic acid; Self-healing; Nanocomposite; Self-healing hydrogels; Hyaluronic acid; Materials science; Wound dressing; Chemistry; Nanotechnology; Polymer chemistry; Medicine; Composite material; Surgery; Food science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009827505,0.0002747922,0.0001699588,0.0001568986,0.00006989129,0.0001198673,0.0001188669,0.0002447608,0.0005434011],"category_scores_gemma":[0.00008443702,0.0001175404,0.0001546914,0.00006867578,0.0001033957,0.0002415935,0.0001239746,0.0002258669,0.000114368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000127261,"about_ca_system_score_gemma":0.00008576929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000199465,"about_ca_topic_score_gemma":0.0005336453,"domain_scores_codex":[0.9999532,0.000006559987,0.000003779708,0.00001098794,0.00001272767,0.00001272405],"domain_scores_gemma":[0.9999465,0.000008715895,0.00001946912,0.000003549755,0.00000636173,0.00001546335],"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":[0.00002116046,0.000009560351,0.00002342678,0.00002392664,0.000001667691,0.00001622851,0.000005389074,0.00005653573,0.9991907,0.00001962401,0.00001118165,0.00062045],"study_design_scores_gemma":[0.000008036427,0.0001712603,0.000522757,0.000004119923,0.000008514905,0.0000786482,0.000006106647,0.001039254,0.9975344,0.00001308899,0.0006095092,0.000004145691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916185,0.002012763,0.005231956,0.00007436871,0.00003230724,0.00002325627,0.00006553121,0.0001089999,0.0008324117],"genre_scores_gemma":[0.9924486,0.000615851,0.005851496,0.00005323863,0.00001071013,0.0000185535,0.00005079566,0.00001673489,0.0009338848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005434011,"threshold_uncertainty_score":0.001817882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024914587358809,"score_gpt":0.3004701613137505,"score_spread":0.2802210154401624,"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."}}