{"id":"W1948257669","doi":"10.1002/jbm.a.35572","title":"An engineered biocompatible drug delivery system enhances nerve regeneration after delayed repair","year":2015,"lang":"en","type":"article","venue":"Journal of Biomedical Materials Research Part A","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Glial cell line-derived neurotrophic factor; In vivo; Regeneration (biology); Drug delivery; PLGA; Biocompatibility; In vitro; Fibrin; Neurotrophic factors; Viability assay; Pharmacology; Nerve injury; Materials science; Biomedical engineering; Medicine; Chemistry; Cell biology; Biology; Biochemistry; Surgery; Immunology; Nanotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001374021,0.0003744962,0.0002914998,0.0003413653,0.0001106472,0.0002696984,0.0001819092,0.000327534,0.0005267825],"category_scores_gemma":[0.0001216779,0.0001152299,0.0002116459,0.000133036,0.0001972412,0.0002775032,0.0002090937,0.0002835528,0.0001645867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000265268,"about_ca_system_score_gemma":0.0002408423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000437427,"about_ca_topic_score_gemma":0.0009868386,"domain_scores_codex":[0.9999288,0.000007511762,0.000007072419,0.00002034767,0.00002230887,0.00001393494],"domain_scores_gemma":[0.9999367,0.00001173036,0.00002318489,0.000004486385,0.00001035434,0.00001351554],"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":[0.00005811927,0.0000537944,0.0001162264,0.00007791969,0.000006310366,0.00006672615,0.00001180201,0.0001915623,0.9916403,0.0001127613,0.0000457162,0.007618724],"study_design_scores_gemma":[0.00004540468,0.001209809,0.001640577,0.00001563723,0.00004405442,0.0004618786,0.0000143951,0.002006063,0.9902515,0.00005597466,0.004244079,0.00001057393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559394,0.008085203,0.03363505,0.0001914163,0.0001470403,0.0001592024,0.0001740856,0.0002621809,0.001406415],"genre_scores_gemma":[0.9720746,0.002794966,0.02304178,0.00008643763,0.00003545618,0.00008116797,0.0001178244,0.00001995761,0.001747876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005267825,"threshold_uncertainty_score":0.001924694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07299183571727735,"score_gpt":0.3563933081652562,"score_spread":0.2834014724479788,"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."}}