{"id":"W2758710479","doi":"10.1016/j.jcis.2017.09.084","title":"Lyophilisation and concentration of chitosan/siRNA polyplexes: Influence of buffer composition, oligonucleotide sequence, and hyaluronic acid coating","year":2017,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"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; Chemistry; Hyaluronic acid; Cytotoxicity; Oligonucleotide; Gene silencing; Polyelectrolyte; In vitro; Biophysics; Chromatography; Biochemistry; Polymer; Organic chemistry; DNA; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006538517,0.0002948739,0.0002466835,0.0002092337,0.0001700458,0.0003069171,0.000232066,0.0002559081,0.001254868],"category_scores_gemma":[0.0009772503,0.0001725722,0.0001669647,0.0002535373,0.0002551764,0.0002891854,0.0001776794,0.0004495153,0.0002435162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003291489,"about_ca_system_score_gemma":0.0003799133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001082474,"about_ca_topic_score_gemma":0.001419857,"domain_scores_codex":[0.9997956,0.00002896127,0.00003480275,0.00005786057,0.000045294,0.00003743577],"domain_scores_gemma":[0.9995974,0.0001582126,0.00007916112,0.00003484726,0.0000874604,0.00004297648],"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":[0.0001415808,0.00001958272,0.0001041954,0.00003905494,0.000007316425,0.0000200977,0.00005105416,0.000117321,0.9975162,0.00004455019,0.00004257359,0.001896426],"study_design_scores_gemma":[0.000007098556,0.000082078,0.0003669892,0.000002802829,0.000007432245,0.00001456339,0.00000752291,0.0003633175,0.9987632,0.000006171404,0.0003751426,0.000003710164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949621,0.0006631476,0.003190638,0.00006545756,0.00003348063,0.0000479143,0.000156582,0.00008519641,0.0007954675],"genre_scores_gemma":[0.989064,0.0007376589,0.007177616,0.00007284016,0.00001458786,0.00006802833,0.0003865003,0.00009791457,0.002380785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001254868,"threshold_uncertainty_score":0.004197896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118715848011563,"score_gpt":0.2837121513721132,"score_spread":0.2725249928919976,"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."}}