{"id":"W2079436263","doi":"10.1139/v09-171","title":"Biomaterials for neural-tissue engineering — Chitosan supports the survival, migration, and differentiation of adult-derived neural stem and progenitor cells","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Neurogenesis and neuroplasticity mechanisms","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chitosan; Neural stem cell; Chemistry; Progenitor cell; Stem cell; Viability assay; Neural tissue engineering; Self-healing hydrogels; Transplantation; Cell biology; Cell; Regeneration (biology); Polymer chemistry; Biochemistry; Biology; Surgery; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0000700953,0.0001224224,0.0001768099,0.00004151425,0.0001062293,0.00009695779,0.0001457519,0.0000554881,0.00001557885],"category_scores_gemma":[0.0001878713,0.0000945295,0.00003918783,0.0000575971,0.00007239524,0.0000891624,0.00001036913,0.00008359156,7.709497e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003759965,"about_ca_system_score_gemma":0.000100822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004440011,"about_ca_topic_score_gemma":0.0002331279,"domain_scores_codex":[0.9992247,0.00002698332,0.0003073115,0.0001487172,0.0001139084,0.0001784458],"domain_scores_gemma":[0.9991509,0.0001390161,0.0002588174,0.0001107922,0.00007499771,0.0002655309],"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":[0.00001136164,0.000005660561,0.0002874275,0.00007833298,0.000003746816,0.00001535054,0.0001170559,0.000009082041,0.9992607,0.00001559017,0.00001406164,0.0001816843],"study_design_scores_gemma":[0.0002254403,0.00005566217,0.0008671737,0.000013011,0.00002171306,0.0002498185,0.00003778258,0.00045391,0.9978993,0.000005591498,0.00008899094,0.00008160113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986392,0.00002782924,0.0000485382,0.0003073889,0.0007544113,0.0001480977,0.00006779213,0.000005000852,0.000001738568],"genre_scores_gemma":[0.9996787,0.0000215079,0.00004238386,0.00003328154,0.0001893346,0.000004434655,0.000001110591,0.00001806279,0.00001123384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001361341,"threshold_uncertainty_score":0.3854801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195265982793483,"score_gpt":0.2037054822864716,"score_spread":0.1917528224585368,"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."}}