{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000619849,0.0007112605,0.0004770728,0.0002218955,0.000205755,0.0003938614,0.000253035,0.0004476676,0.0005494187],"category_scores_gemma":[0.0007611815,0.000293562,0.0003615234,0.0001857542,0.0002701284,0.0003683587,0.0001893134,0.0003303835,0.0003283432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005169624,"about_ca_system_score_gemma":0.0002895195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001588488,"about_ca_topic_score_gemma":0.001749037,"domain_scores_codex":[0.999642,0.0001048438,0.00004476895,0.00007165311,0.00008590979,0.00005071115],"domain_scores_gemma":[0.9996725,0.0001198317,0.00007631166,0.00002842932,0.00007723911,0.00002573259],"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":[0.00002865205,0.000009039401,0.0000417494,0.00003228307,0.000003123001,0.00001102352,0.000009712577,0.00004620788,0.9989617,0.00001299054,0.00000905849,0.0008344554],"study_design_scores_gemma":[0.000002151214,0.00005514768,0.0003107151,0.000001310221,0.000006720054,0.00002836762,0.000002209337,0.000312567,0.9990225,0.000005956756,0.0002498212,0.000002657034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572151,0.008143083,0.03146664,0.0002776012,0.0000759964,0.0001216824,0.0002094477,0.0003072828,0.002183266],"genre_scores_gemma":[0.979512,0.004089335,0.01323122,0.0001182214,0.00002167722,0.00007396196,0.0002500803,0.0001293995,0.002574092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001588488,"threshold_uncertainty_score":0.003750861,"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."}}