{"id":"W2072950609","doi":"10.1089/ten.tea.2007.0400","title":"Acceleration of Diabetic Wound Healing by an Angiopoietin Peptide Mimetic","year":2008,"lang":"en","type":"article","venue":"Tissue Engineering Part A","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Wound healing; Angiopoietin; Angiogenesis; Diabetic foot; Diabetic retinopathy; Diabetic foot ulcer; Stimulation; Granulation tissue; Vascular endothelial growth factor; Diabetes mellitus; Internal medicine; Endocrinology; Surgery; VEGF receptors","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":[0.0001384406,0.0002049205,0.0001920154,0.00009791277,0.00005608166,0.0001492526,0.0001115709,0.0001856616,0.0007353349],"category_scores_gemma":[0.00007519283,0.00006658489,0.0001337976,0.00005711984,0.00009235039,0.000119451,0.00008606809,0.0003685817,0.00009534098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007798636,"about_ca_system_score_gemma":0.00007630864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001148723,"about_ca_topic_score_gemma":0.0002217595,"domain_scores_codex":[0.9999405,0.00001717005,0.000004759029,0.00001017253,0.00001496765,0.00001235772],"domain_scores_gemma":[0.9999501,0.00001243494,0.0000137588,0.000003224724,0.000002707574,0.00001783505],"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":[0.0002614992,0.0001052338,0.0001006464,0.000038448,0.000004087507,0.00003482844,0.000004760177,0.00006749539,0.9971532,0.00005393723,0.0000199614,0.002155928],"study_design_scores_gemma":[0.00006837821,0.005483597,0.002385402,0.000006615328,0.00001898564,0.0002981413,0.00001282211,0.0008429437,0.9892735,0.00002500254,0.00158134,0.000003226865],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957344,0.001315948,0.001867329,0.00003852364,0.00003183298,0.00003015105,0.00007563336,0.00002223721,0.0008839781],"genre_scores_gemma":[0.9934955,0.001130109,0.004124535,0.00004499859,0.00002070273,0.00003643384,0.0001173033,0.000006429649,0.001023978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007353349,"threshold_uncertainty_score":0.002459943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01616054970525401,"score_gpt":0.2497979978487899,"score_spread":0.2336374481435359,"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."}}