{"id":"W4404459763","doi":"10.1002/advs.202404580","title":"3D Printing‐Based Hydrogel Dressings for Wound Healing","year":2024,"lang":"en","type":"review","venue":"Advanced Science","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Key Research and Development Program of China","keywords":"Self-healing hydrogels; 3D printing; Wound healing; Wound dressing; Biomedical engineering; Materials science; Wound care; Regeneration (biology); 3d printed; Nanotechnology; Medicine; Surgery; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006690344,0.0003786795,0.001126291,0.0003825701,0.0004417619,0.0001213169,0.000274116,0.0001367093,0.000005768701],"category_scores_gemma":[0.0003269709,0.0002649699,0.0003615278,0.001033149,0.0003519538,0.0001274666,0.00006691868,0.0003730213,0.0000997339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005153597,"about_ca_system_score_gemma":0.002196732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009667622,"about_ca_topic_score_gemma":0.000001853211,"domain_scores_codex":[0.997398,0.00001270916,0.0005024708,0.0009547131,0.0004960409,0.0006360889],"domain_scores_gemma":[0.9986237,0.0001959903,0.0002281876,0.000548316,0.000144905,0.0002588489],"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":[0.000009200561,0.00007048365,0.00000379942,0.02182316,0.00004064133,0.00003513913,0.00004125128,0.00001078096,0.00001694559,0.0002777293,0.00003606103,0.9776348],"study_design_scores_gemma":[0.0004784797,0.0001647566,0.00000129343,0.03875759,0.001165272,0.0000728816,0.000007884893,0.000582309,0.00004942209,0.0003196067,0.9581391,0.0002613687],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001038517,0.995329,0.0009825436,0.0001000983,0.0007608492,0.001536086,0.00002529138,0.000195787,0.000966487],"genre_scores_gemma":[0.0003222812,0.9516684,0.04537516,0.0002166707,0.0002299065,0.0003806163,0.0000654575,0.00008454667,0.001656915],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9773734,"threshold_uncertainty_score":0.9999803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09110362691407371,"score_gpt":0.4543000918066719,"score_spread":0.3631964648925982,"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."}}