{"id":"W2915272192","doi":"10.1038/s41598-019-39341-9","title":"Tissue Engineered Neural Constructs Composed of Neural Precursor Cells, Recombinant Spidroin and PRP for Neural Tissue Regeneration","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"New World Laboratories","funders":"NIH Clinical Center; Pirogov Russian National Research Medical University; National University of Science and Technology; Russian Science Foundation; Ministry of Education and Science of the Russian Federation","keywords":"Tissue engineering; Cell biology; Neurogenesis; Matrix (chemical analysis); Chemistry; Scaffold; Organoid; Biocompatibility; Neural stem cell; Spinal cord; Anatomy; Biology; Biomedical engineering; Neuroscience; Medicine; Stem cell","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":[0.000164305,0.000441964,0.0001710209,0.0002530109,0.00009380295,0.0002575881,0.0002025253,0.0002925422,0.0003514042],"category_scores_gemma":[0.0001028436,0.0001457345,0.0002122351,0.0001435143,0.0001743705,0.0002052238,0.0002216974,0.0003291715,0.0001793182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001532657,"about_ca_system_score_gemma":0.000182994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002668165,"about_ca_topic_score_gemma":0.0005530635,"domain_scores_codex":[0.9998806,0.00001765574,0.00001084623,0.00002025511,0.0000547439,0.00001601177],"domain_scores_gemma":[0.9999179,0.00001446087,0.000029293,0.000009565566,0.00001062076,0.00001816122],"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":[0.00001379519,0.00001142791,0.00006605533,0.0000311851,0.000004067047,0.00005799973,0.000008913874,0.0001586749,0.9986034,0.00007693681,0.00000891095,0.0009586056],"study_design_scores_gemma":[0.000008057718,0.0002168199,0.00101058,0.00000483272,0.00002242552,0.0002988291,0.00001252568,0.001296171,0.9948102,0.00002581368,0.002288796,0.000004886778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747322,0.001871166,0.02159997,0.00006762559,0.00003699115,0.0001152185,0.0001538214,0.0001306066,0.00129241],"genre_scores_gemma":[0.9607344,0.001515873,0.03566126,0.00003115806,0.00001397618,0.00009022921,0.0002862656,0.00002710123,0.001639825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000441964,"threshold_uncertainty_score":0.001175523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0129430628786112,"score_gpt":0.2459304438757086,"score_spread":0.2329873809970974,"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."}}