{"id":"W2178788061","doi":"10.2147/ijn.s95245","title":"Development of polymeric&amp;ndash;cationic peptide composite nanoparticles, a nanoparticle-in-nanoparticle system for controlled gene delivery","year":2015,"lang":"en","type":"article","venue":"International Journal of Nanomedicine","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agri-Food and Biosciences Institute; Queen's University","keywords":"Nanoparticle; Materials science; Biocompatibility; Polyethylene glycol; PEG ratio; Polylactic acid; Gene delivery; Cationic polymerization; Ethylene glycol; Nanotechnology; Chemical engineering; Composite number; Transfection; Polymer; Chemistry; Polymer chemistry; Biochemistry; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002769059,0.0003569894,0.0002734968,0.0002131933,0.0001655763,0.0003416913,0.0002693548,0.0004098192,0.0004418955],"category_scores_gemma":[0.0002076089,0.0002315246,0.0002131447,0.00008659671,0.0002510372,0.0002917868,0.0001800483,0.0004445425,0.0002890666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004472632,"about_ca_system_score_gemma":0.00034659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006363143,"about_ca_topic_score_gemma":0.0009772647,"domain_scores_codex":[0.9998882,0.00001417924,0.00001180166,0.00003648087,0.00003819153,0.00001119898],"domain_scores_gemma":[0.9998832,0.00002653047,0.00002974333,0.000009491322,0.00002651711,0.00002456303],"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":[0.00001659658,0.00001307416,0.00003222197,0.00004065023,0.000003375315,0.00002930262,0.00001007507,0.0002027175,0.9969055,0.0001070565,0.00002597631,0.002613492],"study_design_scores_gemma":[0.000008642768,0.00008829161,0.0001407437,0.000001881276,0.000007839823,0.00008632838,0.000002289503,0.001501818,0.9961253,0.00001728728,0.002015287,0.000004315488],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8311417,0.005492766,0.1574008,0.0004506311,0.0002399922,0.0003400275,0.0002826913,0.0006836934,0.003967857],"genre_scores_gemma":[0.8802959,0.001582614,0.1128133,0.0001188756,0.00004069016,0.0001379756,0.0002548311,0.00006989774,0.004685908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006363143,"threshold_uncertainty_score":0.003245115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02682766873946738,"score_gpt":0.2885958643336389,"score_spread":0.2617681955941715,"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."}}