{"id":"W2239833617","doi":"10.1016/j.xphs.2015.11.001","title":"Preparation of Concentrated Chitosan/DNA Nanoparticle Formulations by Lyophilization for Gene Delivery at Clinically Relevant Dosages","year":2015,"lang":"en","type":"article","venue":"Journal of Pharmaceutical Sciences","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Chitosan; Dose; Gene delivery; Nanoparticle; Drug delivery; Freeze-drying; Pharmaceutical technology; Chemistry; Pharmacology; Nanotechnology; Gene; Chromatography; Materials science; Medicine; Genetic enhancement; Biochemistry; Organic chemistry","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":[0.0005017027,0.0004441627,0.0003188161,0.0004158028,0.0001766752,0.0001945681,0.0002696048,0.0004221103,0.001442082],"category_scores_gemma":[0.0004613316,0.0002061056,0.0002704131,0.0002541218,0.0002700084,0.0001910019,0.0001547889,0.0006357609,0.0004402572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004126211,"about_ca_system_score_gemma":0.0004011522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008798623,"about_ca_topic_score_gemma":0.001608316,"domain_scores_codex":[0.9998572,0.00001751011,0.00001802203,0.00003547359,0.00005165045,0.00002015667],"domain_scores_gemma":[0.9998296,0.00004668545,0.00003826002,0.00001788148,0.00005383716,0.00001357567],"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":[0.00003592239,0.00001847334,0.00002553048,0.00004241311,0.000004835258,0.00001993803,0.00001438551,0.0001645467,0.9974896,0.000052023,0.0000611822,0.002071186],"study_design_scores_gemma":[0.00002180266,0.0001487219,0.0002181663,0.000004941154,0.00001236198,0.0000372554,0.000004353742,0.0006355659,0.997929,0.00001956823,0.0009638739,0.000004409089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8909996,0.003733538,0.09748238,0.000348269,0.0002014252,0.001432827,0.0008065135,0.0005961439,0.004399293],"genre_scores_gemma":[0.9053,0.002499364,0.08474783,0.000216432,0.00006733721,0.0008091049,0.000852285,0.0001485618,0.005359109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001442082,"threshold_uncertainty_score":0.004824221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07151315048876537,"score_gpt":0.4119478738267493,"score_spread":0.3404347233379839,"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."}}