{"id":"W3177636131","doi":"10.1021/acs.biomac.1c00215","title":"Multifunctional Ginger Nanofiber Hydrogels with Tunable Absorption: The Potential for Advanced Wound Dressing Applications","year":2021,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Wallenberg Wood Science Center; Knut och Alice Wallenbergs Stiftelse; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Stiftelsen för Strategisk Forskning","keywords":"Self-healing hydrogels; Ultimate tensile strength; Nanofiber; Absorption of water; Wound dressing; Materials science; Wound healing; Chemical engineering; Chemistry; Composite material; Polymer chemistry; Surgery","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":[0.0001412511,0.0003283084,0.0001732859,0.0001546973,0.00007887134,0.0001733991,0.0001121378,0.0002442787,0.0006088173],"category_scores_gemma":[0.00008831404,0.00009006104,0.0001574068,0.00008873358,0.00007752169,0.0003654691,0.0001359779,0.000252802,0.00013232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009435009,"about_ca_system_score_gemma":0.00006081444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000854734,"about_ca_topic_score_gemma":0.0003296124,"domain_scores_codex":[0.9999583,0.000006462815,0.000003619307,0.000009001786,0.00001224166,0.00001041713],"domain_scores_gemma":[0.9999425,0.00001181717,0.00002211725,0.000003937615,0.000007798807,0.00001178653],"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":[0.00001933784,0.000005424775,0.00002262965,0.00003066684,0.000001580149,0.00001818857,0.000003740277,0.00002917623,0.9990454,0.00001714474,0.000005964345,0.0008007846],"study_design_scores_gemma":[0.000005540858,0.000160531,0.0009714434,0.000005872803,0.00001198672,0.0001213028,0.00001199927,0.0004866471,0.9965498,0.00002902532,0.001640575,0.000005197232],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814401,0.007716774,0.009066198,0.0001120814,0.00003846337,0.0000373065,0.0001398787,0.00007861866,0.001370465],"genre_scores_gemma":[0.9874485,0.002638613,0.008407471,0.00007058725,0.00002020704,0.00002534913,0.00008022893,0.00001744262,0.001291589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006088173,"threshold_uncertainty_score":0.00203675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422846105542724,"score_gpt":0.27966895041051,"score_spread":0.2654404893550828,"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."}}