{"id":"W2604592494","doi":"10.1016/j.ijpharm.2017.03.094","title":"PEGylated composite nanoparticles of PLGA and polyethylenimine for safe and efficient delivery of pDNA to lungs","year":2017,"lang":"en","type":"article","venue":"International Journal of Pharmaceutics","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Indian Council of Medical Research","keywords":"PLGA; Polyethylenimine; PEGylation; Aerosolization; Gene delivery; Chemistry; Biophysics; Cationic liposome; Transfection; Cytotoxicity; Drug delivery; Nanoparticle; Polyethylene glycol; Materials science; In vitro; Nanotechnology; Inhalation; Biochemistry; 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":[0.00017984,0.0002148775,0.0001696764,0.0001561197,0.0001156878,0.0002077868,0.0001961086,0.0003853646,0.0004646788],"category_scores_gemma":[0.0001281413,0.0001845479,0.0001895245,0.00007265224,0.0001697751,0.0003040663,0.0002244951,0.0003095826,0.0001516037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002982464,"about_ca_system_score_gemma":0.0002297975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004051753,"about_ca_topic_score_gemma":0.0006157327,"domain_scores_codex":[0.9999038,0.000009357724,0.000009021061,0.00002417329,0.00003369142,0.0000198172],"domain_scores_gemma":[0.9999532,0.00000808917,0.00001539318,0.00000518099,0.000008659448,0.000009489759],"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":[0.00005257321,0.00001042097,0.00002911828,0.00002812203,0.000002341824,0.00002592636,0.000006949004,0.0001739214,0.9980974,0.00007601266,0.00002065497,0.0014765],"study_design_scores_gemma":[0.00001108644,0.00009114161,0.0003024813,0.000002523939,0.000008471001,0.000082382,0.000003615955,0.001502984,0.9970982,0.00002222061,0.0008715175,0.000003490498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710434,0.00307683,0.02335055,0.0001572678,0.00007557964,0.00008772,0.00008085909,0.0001812373,0.00194658],"genre_scores_gemma":[0.9910426,0.0005200154,0.006441424,0.00004215828,0.000007340508,0.0000294627,0.00005128571,0.00001655039,0.001849144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004646788,"threshold_uncertainty_score":0.002163947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02672380043060379,"score_gpt":0.3526581940414991,"score_spread":0.3259343936108953,"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."}}