{"id":"W2148596051","doi":"10.1155/2012/584060","title":"BSA Nanoparticles for siRNA Delivery: Coating Effects on Nanoparticle Properties, Plasma Protein Adsorption, and<i>In Vitro</i>siRNA Delivery","year":2012,"lang":"en","type":"article","venue":"International Journal of Biomaterials","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Ethylene glycol; Chemistry; Bovine serum albumin; Cytotoxicity; PEG ratio; Drug delivery; In vitro; Biophysics; Protein adsorption; Nanoparticle; Viability assay; Adsorption; Biochemistry; Nanotechnology; Materials science; Organic chemistry; Biology","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":[0.0005239464,0.00016224,0.0002171532,0.0001193419,0.00004225784,0.00008569106,0.0002345728,0.00009652181,0.000008424996],"category_scores_gemma":[0.0002044295,0.000133169,0.00009004427,0.00003947186,0.0000481338,0.00005447975,0.00008175585,0.00003552744,0.000009206238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004525352,"about_ca_system_score_gemma":0.00005545994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001850302,"about_ca_topic_score_gemma":0.000004782808,"domain_scores_codex":[0.9986897,0.0001114592,0.0005250401,0.0001694765,0.0002315533,0.000272836],"domain_scores_gemma":[0.999142,0.00003743339,0.0003172292,0.0001026067,0.000299477,0.0001012562],"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":[0.003156864,0.0001559351,0.0007484807,0.00003166592,0.0001122734,0.000008115432,0.0001059789,0.00001766455,0.991163,0.00001628479,0.0001910338,0.004292731],"study_design_scores_gemma":[0.001458341,0.000582855,0.001016567,0.000211253,0.00001991437,0.00008034711,0.00006209985,0.00006313022,0.9954653,0.00003659818,0.0008463878,0.0001572089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997858,0.0006268888,0.00003727933,0.0002524526,0.0008904963,0.0002843684,0.00003378976,0.000006497987,0.00001026605],"genre_scores_gemma":[0.9981259,0.00009462467,0.0005979326,0.0002560116,0.0008091229,0.00004095718,0.00001887888,0.00001946445,0.00003717173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004302325,"threshold_uncertainty_score":0.5430475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709593961623524,"score_gpt":0.2494653883978445,"score_spread":0.2323694487816092,"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."}}