{"id":"W2073798358","doi":"10.1016/j.biomaterials.2013.02.043","title":"Cell line dependent uptake and transfection efficiencies of PEI–anionic glycopolymer systems","year":2013,"lang":"en","type":"article","venue":"Biomaterials","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Glycopolymer; Raft; Cationic polymerization; Polymer; Transfection; HEK 293 cells; Polymerization; Polymer chemistry; Materials science; Chemistry; Polyelectrolyte; Gene delivery; Biophysics; Biochemistry; Organic chemistry; 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":[0.0007067389,0.0004034094,0.0003773824,0.000327833,0.0001863935,0.0004812342,0.0003155978,0.0004184824,0.0008671527],"category_scores_gemma":[0.000532938,0.0002581482,0.0002642867,0.0003907281,0.0002651679,0.0004616774,0.000235366,0.0005024358,0.0004205353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004310138,"about_ca_system_score_gemma":0.000245604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001129461,"about_ca_topic_score_gemma":0.001241531,"domain_scores_codex":[0.999395,0.000132414,0.0001018296,0.0001153698,0.0001501937,0.0001051239],"domain_scores_gemma":[0.9995496,0.0002332121,0.00005691053,0.00004891647,0.00008691428,0.00002449025],"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":[0.00006492376,0.00001709953,0.00007486175,0.00002317983,0.000003460885,0.00001885613,0.00003849289,0.00004665619,0.9990811,0.0000759061,0.00002610674,0.0005292731],"study_design_scores_gemma":[0.000002064126,0.00004492078,0.0003150627,7.417282e-7,0.000004743745,0.00001863589,0.000005989826,0.0002407875,0.9990751,0.000006457107,0.0002831575,0.000002366632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867736,0.001388635,0.008815438,0.00006543674,0.00004002766,0.00007145065,0.0005092986,0.0001642012,0.002171985],"genre_scores_gemma":[0.9849688,0.001097208,0.007613459,0.00003818732,0.00001172699,0.0001014672,0.001082482,0.00008286275,0.005003739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001129461,"threshold_uncertainty_score":0.003737628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009708353247260512,"score_gpt":0.2178991305037831,"score_spread":0.2081907772565226,"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."}}