{"id":"W605779849","doi":"10.1096/fasebj.29.1_supplement.13.2","title":"Three Dimensional Hydrogel Scaffolds and Applications in the CNS","year":2015,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Muscular Dystrophy Canada; University of Toronto","funders":"","keywords":"Scaffold; Cell biology; Regenerative medicine; Tissue engineering; Stem cell; Chemistry; Nanotechnology; Cell; Stem cell niche; Niche; Cellular differentiation; Biology; Materials science; Biomedical engineering; Progenitor cell; Engineering; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003056731,0.0004500248,0.0001768166,0.0006417325,0.0002170317,0.0006367963,0.000442589,0.0006654679,0.002555342],"category_scores_gemma":[0.0001961671,0.0001389756,0.0002013767,0.0002992475,0.0002882242,0.0006580772,0.0003465223,0.0003473218,0.0005996393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006977764,"about_ca_system_score_gemma":0.0002649164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001007853,"about_ca_topic_score_gemma":0.002611195,"domain_scores_codex":[0.999892,0.00001384465,0.000007313854,0.00002662334,0.00004691617,0.00001323196],"domain_scores_gemma":[0.999842,0.00004741023,0.00003971176,0.000009823699,0.00002251577,0.00003846038],"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":[0.0001553145,0.0001288818,0.0003280031,0.001098192,0.00002537137,0.0007420914,0.000136328,0.003092392,0.879074,0.006561879,0.002898884,0.1057586],"study_design_scores_gemma":[0.00004972191,0.0006171429,0.001502541,0.0003078887,0.00005070786,0.002188971,0.0001033066,0.009176251,0.8729457,0.00298099,0.1100057,0.00007112636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4069542,0.3552159,0.1598264,0.004690191,0.00229997,0.0003356029,0.002288509,0.002558442,0.06583077],"genre_scores_gemma":[0.7992376,0.08778763,0.0896049,0.001288449,0.0003626231,0.0003592375,0.0005952576,0.0001770676,0.02058724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002555342,"threshold_uncertainty_score":0.008548439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03376588692836483,"score_gpt":0.27858309591499,"score_spread":0.2448172089866252,"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."}}