{"id":"W2399723989","doi":"10.1038/srep18104","title":"Mesenchymal stem cell-laden anti-inflammatory hydrogel enhances diabetic wound healing","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":188,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Children's Hospital Research Institute of Manitoba","funders":"National Institute on Alcohol Abuse and Alcoholism; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Mesenchymal stem cell; Wound healing; Granulation tissue; Extracellular matrix; Angiogenesis; Inflammation; In vivo; Self-healing hydrogels; Bone marrow; Medicine; Cell therapy; Chemistry; Stem cell; Pathology; Biomedical engineering; Cell biology; Surgery; Cancer research; Immunology; Biology","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":[0.00009209931,0.0002371912,0.0001681306,0.0002089841,0.00005992791,0.0001992754,0.00009235762,0.0001553247,0.0009667506],"category_scores_gemma":[0.00004994338,0.00007897355,0.0001621967,0.00009876017,0.0000940454,0.0002003935,0.0001277726,0.0002633884,0.0001424297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117183,"about_ca_system_score_gemma":0.0001070515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000188877,"about_ca_topic_score_gemma":0.0003910379,"domain_scores_codex":[0.9999485,0.000008044697,0.000004528998,0.00000795362,0.0000182361,0.0000126915],"domain_scores_gemma":[0.9999597,0.000006335792,0.00001305439,0.000002227264,0.00000442221,0.00001420738],"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":[0.0000816907,0.00004813366,0.0000711932,0.00006379387,0.000003598853,0.00002919958,0.000007887591,0.00007880385,0.9968385,0.00005172347,0.00003081527,0.002694721],"study_design_scores_gemma":[0.00001637668,0.0003757417,0.0009106923,0.000005198344,0.00001484555,0.00006955944,0.000009777331,0.0006841001,0.9966917,0.00001700808,0.001202529,0.00000245451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992662,0.002797052,0.003036293,0.00008051164,0.00006447667,0.0000253138,0.0001086311,0.00007155631,0.001154081],"genre_scores_gemma":[0.9933671,0.001556996,0.003253981,0.00006310624,0.00002150006,0.00002080015,0.00008414884,0.00001310917,0.001619128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009667506,"threshold_uncertainty_score":0.003234148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03045993885180683,"score_gpt":0.2851323360697647,"score_spread":0.2546723972179579,"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."}}