{"id":"W2801894935","doi":"10.1007/s13204-018-0775-z","title":"Polyethylenimine-coated iron oxide magnetic nanoparticles for high efficient gene delivery","year":2018,"lang":"en","type":"article","venue":"Applied Nanoscience","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Alberta Innovates Bio Solutions","keywords":"Polyethylenimine; Gene delivery; Transfection; Cytotoxicity; Magnetic nanoparticles; Surface modification; Glutaraldehyde; Nanochemistry; Biophysics; Iron oxide nanoparticles; Green fluorescent protein; Chemistry; Zeta potential; Nanoparticle; Nanotechnology; MTT assay; Drug delivery; Linker; Fluorescence; Combinatorial chemistry; Materials science; Biochemistry; Chromatography; Cell; In vitro; Biology; 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":[0.000167669,0.0001894165,0.0001568441,0.0001752528,0.0001743544,0.0002495,0.0002294988,0.0003623617,0.0005073321],"category_scores_gemma":[0.0001130173,0.0001624925,0.0001367745,0.0001138517,0.0001700946,0.0002117071,0.0001617937,0.0003156616,0.0002398485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003229891,"about_ca_system_score_gemma":0.0001795239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005311007,"about_ca_topic_score_gemma":0.00115256,"domain_scores_codex":[0.9999201,0.000009749248,0.00000641684,0.00001905394,0.00002946984,0.00001519449],"domain_scores_gemma":[0.9999592,0.000008894366,0.00001044311,0.00000519184,0.000009015403,0.000007128833],"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":[0.0000245274,0.00001072965,0.00002029322,0.00002514389,0.000001983524,0.00001826929,0.000007401728,0.00009813832,0.9977452,0.0001788808,0.00006263636,0.001806772],"study_design_scores_gemma":[0.000006699201,0.00003835409,0.0001908515,0.000001492826,0.000005102996,0.00003973972,0.000002454703,0.001308923,0.9969819,0.00002868565,0.00139281,0.000002985907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.950281,0.004127987,0.03716055,0.0002741622,0.0001316677,0.00007442127,0.0001316603,0.000367435,0.007451246],"genre_scores_gemma":[0.9781577,0.000876877,0.01485706,0.00007124023,0.00002025345,0.00003495113,0.0001111016,0.00003595291,0.005834794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005311007,"threshold_uncertainty_score":0.002343416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009036712088384502,"score_gpt":0.2244218227498791,"score_spread":0.2153851106614946,"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."}}