{"id":"W1549913130","doi":"10.5772/21903","title":"Chitosan-DNA/siRNA Nanoparticles for Gene Therapy","year":2011,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"Canadian Institutes of Health Research; Universidade Estadual Paulista; National Natural Science Foundation of China","keywords":"Chitosan; Nanoparticle; Genetic enhancement; Nanotechnology; Gene delivery; DNA; Gene; Materials science; Chemistry; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001028054,0.0006229482,0.0003191996,0.0005990441,0.0002029529,0.000473792,0.000345097,0.0004651062,0.008462055],"category_scores_gemma":[0.00006423857,0.00026065,0.0002766433,0.0004687181,0.0002430277,0.0003106609,0.0002243058,0.0005817935,0.004388974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017248,"about_ca_system_score_gemma":0.0007247204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006401188,"about_ca_topic_score_gemma":0.01684103,"domain_scores_codex":[0.9999278,0.000003363529,0.000002339532,0.00001225345,0.00004448622,0.000009718012],"domain_scores_gemma":[0.9999796,0.000004903466,0.000002989133,0.0000013871,0.000007158525,0.0000040115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007921903,0.00004702408,0.00006358742,0.0008254805,0.00001931134,0.0001864007,0.00006986123,0.0007493326,0.7847793,0.00613627,0.02653429,0.18051],"study_design_scores_gemma":[0.00003657332,0.0001876964,0.0006296654,0.0001087851,0.00006466269,0.0005986829,0.00003176688,0.00206132,0.5880939,0.001089633,0.4070555,0.00004177956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.07992563,0.3486904,0.144084,0.003331659,0.003496854,0.0005463743,0.001830909,0.004283321,0.4138108],"genre_scores_gemma":[0.1499531,0.1413699,0.04480483,0.001149303,0.0002733356,0.0002497735,0.001010091,0.0005014227,0.6606884],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008462055,"threshold_uncertainty_score":0.02830833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03578242463298938,"score_gpt":0.2504458586938985,"score_spread":0.2146634340609092,"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."}}