{"id":"W2970473523","doi":"10.1039/c9ra03668g","title":"Model Affitin and PEG modifications onto siRNA lipid nanocapsules: cell uptake and <i>in vivo</i> biodistribution improvements","year":2019,"lang":"en","type":"article","venue":"RSC Advances","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"Ligue Contre le Cancer; Science Foundation Ireland; Universite Angers; Centre National de la Recherche Scientifique; Canadian Institute for Theoretical Astrophysics","keywords":"PEGylation; Biodistribution; Nanocarriers; Nanocapsules; In vivo; PEG ratio; Small interfering RNA; Chemistry; Biophysics; Confocal microscopy; Internalization; Polyethylene glycol; Förster resonance energy transfer; Flow cytometry; Melanoma; Nanomedicine; Cancer research; Cell; In vitro; Drug delivery; Transfection; Molecular biology; Materials science; Nanotechnology; Cell biology; Nanoparticle; Biochemistry; Medicine; Fluorescence; 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":[0.00006029602,0.0001175717,0.0001039156,0.00002602596,0.00004509397,0.000023726,0.00008258471,0.000075588,0.000008015398],"category_scores_gemma":[0.000008957696,0.0001122117,0.00002506882,0.00003890001,0.00004394309,0.00001894841,0.00005550187,0.00004617828,0.000007956146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001224219,"about_ca_system_score_gemma":0.00002955629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001659205,"about_ca_topic_score_gemma":0.0001002976,"domain_scores_codex":[0.9992729,0.00001251351,0.0001554685,0.0003270356,0.00006315298,0.0001688777],"domain_scores_gemma":[0.9996709,0.000005099512,0.00006118575,0.0001751156,0.00004001048,0.00004769233],"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":[0.00004383169,0.00004258746,0.001686394,0.00002841075,0.000005224614,2.570986e-7,0.00003666635,0.0003749521,0.9944105,0.00004377222,0.0002244145,0.003102954],"study_design_scores_gemma":[0.001052976,0.0003324297,0.001480372,0.00003950742,0.00001425093,0.000003809453,0.0004801933,0.006559195,0.9661182,0.0003041888,0.0232837,0.0003311791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938864,0.00332777,0.001087689,0.00006317334,0.00007221663,0.0001772034,0.0001323249,0.000006718653,0.001246516],"genre_scores_gemma":[0.9942356,0.003732173,0.0005647165,0.0001267029,0.00003935157,0.00002178138,0.00007849034,0.000007440191,0.001193718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02829234,"threshold_uncertainty_score":0.4575861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00983254746915099,"score_gpt":0.2376475739942227,"score_spread":0.2278150265250717,"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."}}