{"id":"W2010450195","doi":"10.1021/bp070352a","title":"Design of Protein‐Releasing Chitosan Channels","year":2008,"lang":"en","type":"article","venue":"Biotechnology Progress","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University Health Network; Canada Research Chairs; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chitosan; PLGA; Microsphere; Regeneration (biology); Spinal cord injury; Alkaline phosphatase; Chemistry; Biomedical engineering; Coating; Spinal cord; Biophysics; Cell biology; Biochemistry; Neuroscience; In vitro; Medicine; Enzyme; Biology; Chemical engineering","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":[0.0002987048,0.0004675555,0.0002718828,0.0003171415,0.0002352515,0.0005110837,0.00047973,0.0004242278,0.0006465033],"category_scores_gemma":[0.0003459886,0.0002624742,0.0003301288,0.0002375696,0.0002799087,0.0003996636,0.0002151865,0.0004004156,0.0002567877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006775589,"about_ca_system_score_gemma":0.0006514613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009475283,"about_ca_topic_score_gemma":0.001201021,"domain_scores_codex":[0.9998155,0.00001826322,0.00002029107,0.00004830809,0.00005286353,0.00004469609],"domain_scores_gemma":[0.999707,0.00005399096,0.0001032995,0.0000161554,0.0000609444,0.00005859345],"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":[0.0001939315,0.00007378641,0.0001317671,0.0002004742,0.00001227391,0.0001422779,0.00002910117,0.0019671,0.9883183,0.001171276,0.0001884664,0.007571244],"study_design_scores_gemma":[0.0001146966,0.0004210264,0.0004476617,0.00001015719,0.00002580356,0.0001074864,0.00001277571,0.005908926,0.9871559,0.00008073953,0.00569214,0.0000226811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8796178,0.004195747,0.1065871,0.000515418,0.0003665591,0.001032388,0.0004861123,0.0007683603,0.006430506],"genre_scores_gemma":[0.9244036,0.002460134,0.06783564,0.0001523485,0.00004847952,0.0005574026,0.0002164895,0.00007546826,0.004250451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009475283,"threshold_uncertainty_score":0.004916012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05924125248539197,"score_gpt":0.2703693713990131,"score_spread":0.2111281189136212,"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."}}