{"id":"W2596909879","doi":"10.1007/s13346-017-0368-5","title":"Development of antibody-modified chitosan nanoparticles for the targeted delivery of siRNA across the blood-brain barrier as a strategy for inhibiting HIV replication in astrocytes","year":2017,"lang":"en","type":"article","venue":"Drug Delivery and Translational Research","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":136,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Manitoba Health Research Council","keywords":"Blood–brain barrier; Chitosan; Antibody; Replication (statistics); Chemistry; Nanoparticle; Human immunodeficiency virus (HIV); Small interfering RNA; Virology; Cell biology; Biophysics; Medicine; Immunology; Nanotechnology; Neuroscience; Biology; Central nervous system; Materials science; RNA; Biochemistry; 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":[0.0001701538,0.0004021483,0.0001605339,0.0002297892,0.0001754049,0.0002608705,0.0003711327,0.0005149598,0.000601614],"category_scores_gemma":[0.0001267062,0.0002012057,0.0002962982,0.00009618978,0.0001691468,0.0002166407,0.000155365,0.0003952058,0.0002166655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005346024,"about_ca_system_score_gemma":0.0004229278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002712211,"about_ca_topic_score_gemma":0.004130152,"domain_scores_codex":[0.9999185,0.000007818912,0.000005701371,0.0000198926,0.00002895345,0.00001911445],"domain_scores_gemma":[0.9999411,0.000008044208,0.00001442956,0.000004576812,0.00001981093,0.00001206957],"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":[0.00002365594,0.00001256427,0.00001865585,0.00002505571,0.000003334078,0.00002498894,0.000005532617,0.0001027043,0.9982091,0.0001038378,0.00002798739,0.001442597],"study_design_scores_gemma":[0.00001279828,0.000104333,0.0002508746,0.000001971963,0.00001128986,0.00005446394,0.000003111558,0.001410406,0.9970666,0.00001585476,0.001063646,0.000004634453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9563103,0.002818553,0.03513666,0.0003222271,0.0001458903,0.0002486424,0.0001654243,0.0002174455,0.004634871],"genre_scores_gemma":[0.9729549,0.001194976,0.02137725,0.0001009221,0.00001665368,0.00008637363,0.0001387963,0.00002980549,0.004100185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002712211,"threshold_uncertainty_score":0.00539279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06417750421664925,"score_gpt":0.3874329032511968,"score_spread":0.3232553990345476,"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."}}