{"id":"W2108098608","doi":"10.1016/j.jconrel.2013.07.032","title":"Bioengineered sequential growth factor delivery stimulates brain tissue regeneration after stroke","year":2013,"lang":"en","type":"article","venue":"Journal of Controlled Release","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":143,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Stem Cell Network; Ontario Neurotrauma Foundation; Heart and Stroke Foundation of Canada","keywords":"PLGA; Erythropoietin; Epidermal growth factor; Growth factor; Regeneration (biology); Chemistry; Biomedical engineering; Neural stem cell; Glycolic acid; Regenerative medicine; Cell biology; Pharmacology; Medicine; Stem cell; Lactic acid; Biochemistry; Biology; Internal medicine; Receptor","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":[0.0002177793,0.0002039515,0.0004248838,0.0002699826,0.0001488267,0.0002886769,0.0001882488,0.0001284703,0.0005732685],"category_scores_gemma":[0.0009777821,0.0001423978,0.0002574362,0.0001419462,0.00007094721,0.0008978065,0.00002233653,0.0002863985,0.00008910165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005896714,"about_ca_system_score_gemma":0.0001274966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001329122,"about_ca_topic_score_gemma":0.00000376472,"domain_scores_codex":[0.9980054,0.0003534775,0.000722257,0.0002068578,0.0004624239,0.0002496111],"domain_scores_gemma":[0.9984124,0.0003303519,0.0004503762,0.0001619393,0.0004293782,0.0002155884],"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":[0.001260138,0.00009507957,0.00004629958,0.000009965202,0.00003995032,0.00009955514,0.00005996694,0.001613258,0.9920928,0.000197955,0.002353318,0.002131651],"study_design_scores_gemma":[0.008141778,0.0005575555,0.0002439347,0.00002954759,0.00006866318,0.000097189,0.000009266705,0.01558493,0.9739038,0.0003620239,0.0008030554,0.0001982146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894537,0.0005525802,0.004738047,0.003536931,0.001114,0.0004923612,0.00002532791,0.00002705854,0.00005995726],"genre_scores_gemma":[0.9950628,0.0000669625,0.0003611646,0.0006969749,0.0009585261,0.00002345865,0.000002801364,0.00002262461,0.002804706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01818902,"threshold_uncertainty_score":0.6276888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317340892630554,"score_gpt":0.2519352974903489,"score_spread":0.2387618885640434,"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."}}