{"id":"W2613582193","doi":"10.1039/c7tb01046j","title":"Tunable PEGylation of branch-type PEI/DNA polyplexes with a compromise of low cytotoxicity and high transgene expression: in vitro and in vivo gene delivery","year":2017,"lang":"en","type":"article","venue":"Journal of Materials Chemistry B","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and Technology, Taiwan; Institute of Population and Public Health; Chung Yuan Christian University; King Saud University","keywords":"In vivo; Gene delivery; Transgene; Cytotoxicity; PEGylation; In vitro; DNA; Cell biology; Genetic enhancement; Chemistry; Molecular biology; Materials science; Biophysics; Nanotechnology; Gene; Biochemistry; Biology; Genetics","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":[0.0002232713,0.0005480831,0.0002053747,0.0001923012,0.0001058873,0.0002432941,0.0001612948,0.0003210473,0.0006976195],"category_scores_gemma":[0.0003603162,0.0001383744,0.0001399515,0.0001730748,0.0002059039,0.0003471927,0.0001704429,0.0003581088,0.0002339055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003515542,"about_ca_system_score_gemma":0.0002559747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000270747,"about_ca_topic_score_gemma":0.0004259778,"domain_scores_codex":[0.9998662,0.00002136558,0.00001823335,0.00004859463,0.00002814483,0.00001737425],"domain_scores_gemma":[0.999828,0.00005286913,0.00005380878,0.00001764501,0.00002278862,0.00002496703],"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":[0.00003245458,0.000009412107,0.00003475925,0.000021609,0.000002268657,0.00001792989,0.00001037752,0.00009031373,0.9988662,0.00005427411,0.000007448097,0.0008529047],"study_design_scores_gemma":[0.000002930566,0.00005944048,0.0001193844,9.710412e-7,0.000003945787,0.00002934486,0.000001768977,0.0002638434,0.9992427,0.0000152438,0.0002590501,0.000001330649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869042,0.0006567133,0.01089334,0.00005348523,0.00001739258,0.00006335925,0.0001340942,0.0001026731,0.001174703],"genre_scores_gemma":[0.9883903,0.0004474868,0.009338286,0.00002442341,0.000005391511,0.00004967587,0.0001711656,0.00005203326,0.001521215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006976195,"threshold_uncertainty_score":0.002550662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008347663368300125,"score_gpt":0.2228431305336279,"score_spread":0.2144954671653277,"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."}}