{"id":"W2336423858","doi":"10.3390/nano6040069","title":"Cationic Nanoparticles Assembled from Natural-Based Steroid Lipid for Improved Intracellular Transport of siRNA and pDNA","year":2016,"lang":"en","type":"article","venue":"Nanomaterials","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Donghua University; National Natural Science Foundation of China; Youth Innovation Promotion Association; Chinese Academy of Sciences; National Science Foundation","keywords":"Cationic polymerization; Intracellular; Nanoparticle; Chemistry; Steroid; Biophysics; Small interfering RNA; Transfection; Nanotechnology; Cell biology; Materials science; Biochemistry; Polymer chemistry; Gene; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001431818,0.0003191138,0.000172461,0.000170147,0.00009280149,0.0001868633,0.0001588418,0.0002745703,0.0003082863],"category_scores_gemma":[0.0001176814,0.0001297486,0.0001727299,0.0001061466,0.0001825157,0.0002183778,0.0002425062,0.0002067122,0.000199022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002899753,"about_ca_system_score_gemma":0.0002053465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004655646,"about_ca_topic_score_gemma":0.0006510625,"domain_scores_codex":[0.9999133,0.00001306947,0.00001030864,0.00002127578,0.00002476682,0.0000172672],"domain_scores_gemma":[0.9999501,0.000007703112,0.00001525766,0.000004229556,0.00001045036,0.00001227126],"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":[0.00001368551,0.000003150419,0.00003157932,0.00001745705,0.000001240332,0.00001743325,0.000006709955,0.0000397098,0.9992092,0.0000517513,0.000006189051,0.000601937],"study_design_scores_gemma":[0.000005974159,0.00004010859,0.0001974722,0.00000143673,0.000004875422,0.00004305482,0.000005448588,0.000549804,0.9982139,0.00001661726,0.0009186281,0.000002774651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833729,0.002250633,0.01286208,0.00009741134,0.00004079223,0.00005387924,0.0000669109,0.00009412869,0.001161359],"genre_scores_gemma":[0.9865066,0.000851927,0.01085154,0.00005620258,0.00000940931,0.00003645433,0.00008987915,0.00002266657,0.001575254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004655646,"threshold_uncertainty_score":0.002103925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0084782841675079,"score_gpt":0.2274229094584743,"score_spread":0.2189446252909664,"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."}}