{"id":"W2884532103","doi":"10.1016/j.ijbiomac.2018.07.072","title":"Diethylaminoethyl- chitosan as an efficient carrier for siRNA delivery: Improving the condensation process and the nanoparticles properties","year":2018,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"Universidade Estadual Paulista; Université de Montréal; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Chitosan; HeLa; Nanoparticle; Chemistry; Gene silencing; PEG ratio; Small interfering RNA; Molecule; Biophysics; Combinatorial chemistry; Transfection; In vitro; Nanotechnology; Biochemistry; Materials science; Organic chemistry; Gene","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":[0.000388339,0.0001143995,0.0001199971,0.00002643913,0.0001543388,0.000105412,0.0004505139,0.00007786394,0.000005735094],"category_scores_gemma":[0.000410686,0.00005219434,0.00009533649,0.00002793716,0.0006592814,0.0000102871,0.000100982,0.00008384843,0.000001113413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006988937,"about_ca_system_score_gemma":0.0000583583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002006372,"about_ca_topic_score_gemma":0.00001127652,"domain_scores_codex":[0.999101,0.0001218275,0.0002829773,0.0001757201,0.000178781,0.000139642],"domain_scores_gemma":[0.999018,0.00005034955,0.0002242166,0.0001071516,0.0005526798,0.0000476116],"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":[0.001774968,0.00004453744,0.0003511197,0.000003207401,0.0001031669,0.000003305148,0.0004134963,0.00004752995,0.9916543,0.0005153494,0.00001261688,0.005076341],"study_design_scores_gemma":[0.001090663,0.001690429,0.001577398,0.00002400151,0.00002732959,0.0001636372,0.001413498,0.001070723,0.9914817,0.001124014,0.0002276949,0.0001089253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969146,0.0008461918,0.0006492707,0.001023032,0.0003075636,0.0001869525,0.0000151137,0.000003903983,0.00005341486],"genre_scores_gemma":[0.9983513,0.0001211466,0.000110486,0.0007368682,0.0006356831,0.00001801359,0.000007451154,0.000007060085,0.00001198088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004967416,"threshold_uncertainty_score":0.242915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910142310396805,"score_gpt":0.2781830313064929,"score_spread":0.2590816082025248,"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."}}