{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006985015,0.0003627139,0.0002756657,0.00006563021,0.0000691637,0.00002802617,0.0003955993,0.0005235317,0.00008993523],"category_scores_gemma":[0.00001173959,0.0003265149,0.0003211526,0.000004044111,0.0001366001,0.000001551934,0.0001140695,0.0001466333,0.00005741503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008468544,"about_ca_system_score_gemma":0.00009366661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001023954,"about_ca_topic_score_gemma":0.00002078813,"domain_scores_codex":[0.9987937,0.000009308665,0.0003045162,0.0005070489,0.0001047064,0.0002806848],"domain_scores_gemma":[0.9990813,0.000009300738,0.0001549902,0.0005660582,0.0001062701,0.0000821309],"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":[0.000237224,0.00001328458,0.000002250281,0.00001084948,0.0001935775,0.000004588177,0.00004304548,3.763111e-8,0.9684509,0.0009457789,0.001058922,0.02903955],"study_design_scores_gemma":[0.0002657184,0.0006592475,0.000002268738,0.00004070953,0.00002298722,0.00001423549,0.000004491546,2.252787e-7,0.7205079,0.005282719,0.2729113,0.0002881918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2238411,0.003893612,0.001963047,0.00005736182,0.0009609792,0.00119154,0.0002673458,0.0000849338,0.7677401],"genre_scores_gemma":[0.6965254,0.0007226837,0.0003412985,0.0006190258,0.0007689112,0.0001221836,0.0001522295,0.0001157027,0.3006326],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4726843,"threshold_uncertainty_score":0.9999187,"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."}}