{"id":"W2316876876","doi":"10.1089/ten.tea.2015.0493","title":"Concurrent and Sustained Delivery of FGF2 and FGF9 from Electrospun Poly(ester amide) Fibrous Mats for Therapeutic Angiogenesis","year":2016,"lang":"en","type":"article","venue":"Tissue Engineering Part A","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Angiogenesis; Fibroblast growth factor; Growth factor; Cell biology; Chemistry; Extracellular matrix; Mesenchymal stem cell; Therapeutic angiogenesis; Vascular endothelial growth factor; In vivo; Hepatocyte growth factor; Basic fibroblast growth factor; Neovascularization; Biomedical engineering; Cancer research; Biology; Biochemistry; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001259042,0.0001534366,0.000232029,0.00005232955,0.00004802668,0.00002383966,0.0001239796,0.00007599846,0.00005094653],"category_scores_gemma":[0.00001516634,0.0001167878,0.00002900912,0.00009721043,0.0001044313,0.00007440715,0.00004997992,0.0000281153,0.000008736916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003758453,"about_ca_system_score_gemma":0.00002314814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002285101,"about_ca_topic_score_gemma":0.000001815062,"domain_scores_codex":[0.9990245,0.0000148431,0.0002322452,0.0002851749,0.000126608,0.0003166141],"domain_scores_gemma":[0.9992604,0.0003286067,0.00006587721,0.0001968355,0.00004722134,0.0001010701],"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":[0.00001320373,0.00001640652,0.0001607539,0.0000562701,0.00002082427,8.354334e-7,0.00006911399,8.934832e-7,0.9847135,0.001029617,0.0002440948,0.01367447],"study_design_scores_gemma":[0.0005611609,0.0001819996,0.001813853,0.00008396896,0.0000500768,0.00000788637,0.00000667089,0.000217832,0.9763718,0.0004289172,0.02007711,0.0001987396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7983602,0.008608235,0.1914566,0.0005847957,0.0001892699,0.0004754263,0.0001886965,0.000130916,0.000005850958],"genre_scores_gemma":[0.9886402,0.0001761444,0.01060699,0.00003195959,0.0001259901,0.0001328102,0.00001680478,0.00003151138,0.000237533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.19028,"threshold_uncertainty_score":0.4762467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007712106407690329,"score_gpt":0.2270970719186211,"score_spread":0.2193849655109307,"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."}}