{"id":"W2300218073","doi":"10.1021/acsami.5b11332","title":"In-Situ-Generated Vasoactive Intestinal Peptide Loaded Microspheres in Mussel-Inspired Polycaprolactone Nanosheets Creating Spatiotemporal Releasing Microenvironment to Promote Wound Healing and Angiogenesis","year":2016,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Children's Hospital Research Institute of Manitoba","funders":"Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Materials science; Wound healing; Vasoactive intestinal peptide; Polycaprolactone; Angiogenesis; Nanofiber; Biomedical engineering; Granulation tissue; Membrane; In vivo; Biophysics; Nanotechnology; Chemistry; Composite material; Biochemistry; Medicine; Neuropeptide; Surgery; Biology; Cancer research","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":[0.0001321153,0.0003278889,0.0001522726,0.0001719095,0.0001026376,0.0002177991,0.0001930815,0.0003867206,0.0004543709],"category_scores_gemma":[0.0001473248,0.0001697657,0.0002361804,0.00008569113,0.0001586542,0.0002507083,0.0001933696,0.0002428452,0.0001822682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002427095,"about_ca_system_score_gemma":0.0001504319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003935552,"about_ca_topic_score_gemma":0.000570094,"domain_scores_codex":[0.9999067,0.000008970573,0.000008652111,0.00003087568,0.00002728534,0.00001751716],"domain_scores_gemma":[0.9998907,0.00001689589,0.00004631715,0.000008556868,0.00001953944,0.00001790982],"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":[0.00002024361,0.000009112581,0.00005884207,0.00003459453,0.000003409913,0.00005024746,0.000008468365,0.0002928443,0.998511,0.00004840784,0.00001764341,0.0009451218],"study_design_scores_gemma":[0.00000960281,0.0001252227,0.0005649755,0.000002306301,0.000006473304,0.00007277795,0.000006535221,0.001597047,0.9967596,0.00001656962,0.0008324894,0.000006402185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831886,0.0009406272,0.01398714,0.00007133549,0.00005342597,0.00005341823,0.0001557207,0.0001680741,0.00138161],"genre_scores_gemma":[0.9860023,0.0004115122,0.01084345,0.00004518106,0.00001528405,0.00005562402,0.0001116597,0.00002354331,0.002491447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004543709,"threshold_uncertainty_score":0.001761019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042233308193255,"score_gpt":0.2418273341332446,"score_spread":0.2314050010513121,"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."}}