{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005217476,0.0001176481,0.0001557017,0.0001636465,0.0002204116,0.00000796171,0.0002901268,0.0003108715,0.00000720676],"category_scores_gemma":[0.0001142315,0.00009926089,0.00003536911,0.0003792265,0.0008971777,0.00009285205,0.0000708913,0.0001726554,0.00001335998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007361707,"about_ca_system_score_gemma":0.00003849894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001383939,"about_ca_topic_score_gemma":6.53929e-8,"domain_scores_codex":[0.9989887,0.0001095853,0.0002003776,0.00031596,0.0001452673,0.0002400455],"domain_scores_gemma":[0.9995095,0.00002293994,0.0001415193,0.0002820775,0.00001539921,0.0000285537],"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":[0.0000366132,0.00009939792,0.00004963897,0.00001216462,0.0000029236,0.00004110877,0.00004601734,0.00003914855,0.9826165,0.005997051,0.00001649156,0.01104288],"study_design_scores_gemma":[0.0001991776,0.0002905896,0.00003940047,0.00002546186,0.000003082673,0.0001598229,0.000004655629,0.0007141333,0.9978873,0.0003280829,0.0002379166,0.0001103486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885025,0.0003400196,0.008099942,0.001806644,0.0002331416,0.0006208388,0.000002221485,0.0003163361,0.0000783585],"genre_scores_gemma":[0.9949375,0.00006979702,0.004711699,0.00003862973,0.00006151035,0.00006524796,7.73817e-7,0.00001401787,0.000100767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01527076,"threshold_uncertainty_score":0.4047742,"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."}}