{"id":"W2097194443","doi":"10.1039/c5tb00871a","title":"Development of a glial cell-derived neurotrophic factor-releasing artificial dura for neural tissue engineering applications","year":2015,"lang":"en","type":"article","venue":"Journal of Materials Chemistry B","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Collaboration On Repair Discoveries; University of Victoria","funders":"Rick Hansen Foundation; University of Victoria","keywords":"Neural tissue engineering; Tissue engineering; Neural cell; Materials science; Neurotrophic factors; Neural stem cell; Neuroscience; Brain-derived neurotrophic factor; Biomedical engineering; Cell; Biology; Cell biology; Engineering; Stem cell; Biochemistry","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":[0.0003252966,0.0001706995,0.0003563244,0.0000456025,0.00008039913,0.00006883622,0.0004092059,0.00009986688,0.000101161],"category_scores_gemma":[0.0001050367,0.0001561413,0.00005801574,0.0001265731,0.00007290693,0.0001047822,0.00006355287,0.00009329699,0.00001002934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001130717,"about_ca_system_score_gemma":0.0003350574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001247904,"about_ca_topic_score_gemma":9.329877e-8,"domain_scores_codex":[0.9981228,0.00002030573,0.001003144,0.000190178,0.0003917127,0.0002718963],"domain_scores_gemma":[0.9983811,0.00007085845,0.0007418834,0.0001995055,0.0003595487,0.0002470531],"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":[0.0001334801,0.00009105103,0.000001936884,0.0002086863,0.000007569653,0.000002346596,0.0001287512,0.00008883992,0.9988379,0.00002340818,0.00008825983,0.0003877523],"study_design_scores_gemma":[0.000396364,0.00004158667,0.00005331907,0.00003718497,0.00002486421,0.00002963655,0.000022148,0.00003840196,0.9950786,0.0001506126,0.003984467,0.000142795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666042,0.00007019784,0.0324072,0.0001851524,0.0003482786,0.0002882305,0.00005398048,0.00002818689,0.00001460757],"genre_scores_gemma":[0.8921746,0.000004782079,0.1069278,0.00001510852,0.0007325978,0.00007787087,0.00001448428,0.00002679104,0.00002593938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07452064,"threshold_uncertainty_score":0.6367258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02490385814645252,"score_gpt":0.2634187837163857,"score_spread":0.2385149255699332,"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."}}