{"id":"W2797746689","doi":"10.1038/s41598-018-23966-3","title":"Strategic Design and Fabrication of Biomimetic 3D Scaffolds: Unique Architectures of Extracellular Matrices for Enhanced Adipogenesis and Soft Tissue Reconstruction","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ministry of Education, Science and Technology; National Research Foundation of Korea; National Research Foundation","keywords":"Electrospinning; Nanofiber; Materials science; Biocompatibility; Fabrication; Adipogenesis; Tissue engineering; Nanotechnology; Polymer; Biomedical engineering; Porosity; Methacrylate; Adipose tissue; Composite material; Chemistry; Copolymer","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":[0.0001219014,0.0003425535,0.0001187184,0.0002274459,0.0001593825,0.0002687118,0.000196114,0.0004447452,0.0003986617],"category_scores_gemma":[0.0001112243,0.0001800354,0.0002801031,0.0001374213,0.0001735149,0.0002195611,0.0002071364,0.0002947331,0.0001965729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002836169,"about_ca_system_score_gemma":0.000289823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002713664,"about_ca_topic_score_gemma":0.001029566,"domain_scores_codex":[0.9999236,0.000007907989,0.000007096914,0.0000144661,0.00003134518,0.00001550996],"domain_scores_gemma":[0.9999361,0.000009521362,0.00002444827,0.000006474584,0.00001135438,0.00001215953],"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":[0.000007221256,0.00001172903,0.00007180989,0.00003650514,0.00000283454,0.00004169707,0.000009660943,0.0008352422,0.9966348,0.0003964843,0.00003263994,0.001919466],"study_design_scores_gemma":[0.000009066193,0.0001071302,0.0009229759,0.000005929243,0.000008303127,0.000219467,0.00001276857,0.004704478,0.990248,0.0001750124,0.003576109,0.00001066836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8887765,0.002292217,0.1027652,0.0001884769,0.00008764253,0.0001781061,0.0004520967,0.0002979265,0.004961782],"genre_scores_gemma":[0.9065294,0.001304579,0.0900179,0.00007079454,0.00001577463,0.0001794998,0.0002895625,0.00003173973,0.001560716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004447452,"threshold_uncertainty_score":0.002057791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520266011940441,"score_gpt":0.2609583684778435,"score_spread":0.2457557083584391,"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."}}