{"id":"W2888278972","doi":"10.3390/ma11081478","title":"Nanoscale and Macroscale Scaffolds with Controlled-Release Polymeric Systems for Dental Craniomaxillofacial Tissue Engineering","year":2018,"lang":"en","type":"review","venue":"Materials","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Tissue engineering; Nanotechnology; Biomaterial; Regenerative medicine; Self-healing hydrogels; Materials science; Cell encapsulation; Extracellular matrix; Morphogen; Stem cell; Biomedical engineering; Chemistry; Biology; Cell biology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005216227,0.0006795222,0.00266203,0.0001762302,0.0002700492,0.0005255524,0.0005308113,0.000475637,0.0002402122],"category_scores_gemma":[0.00003924926,0.0004827151,0.0001522522,0.0002769552,0.0003599772,0.0001137307,0.0001578223,0.000055264,0.0002039256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001592275,"about_ca_system_score_gemma":0.0001551734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008176601,"about_ca_topic_score_gemma":0.000004743136,"domain_scores_codex":[0.9968153,0.0001262984,0.001058138,0.0008707584,0.000380295,0.000749202],"domain_scores_gemma":[0.9983154,0.0002266802,0.0005889377,0.000513944,0.00008459904,0.0002704669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005054172,0.0002676496,0.00000221103,0.04079587,0.0003811292,0.00003482139,0.00006257667,6.024657e-7,0.9161204,0.001768087,0.003198168,0.03686314],"study_design_scores_gemma":[0.001800596,0.0004292479,7.752783e-7,0.003577587,0.0008640457,0.0003124642,0.000008094712,0.000008505224,0.06455626,0.00001439488,0.927628,0.0007999782],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003330751,0.9830413,0.003379653,0.00001692257,0.002155968,0.005184388,0.002591186,0.0002621046,0.00003775395],"genre_scores_gemma":[0.0006437245,0.9818236,0.006056577,0.00003842473,0.001909915,0.007530516,0.0004553472,0.0002876632,0.001254257],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9244299,"threshold_uncertainty_score":0.9997625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089388633606015,"score_gpt":0.2750360636362359,"score_spread":0.2641421773001758,"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."}}