{"id":"W2801984293","doi":"10.1002/jlb.3ta0517-192r","title":"Lipofection of plasmid DNA into human mast cell lines using lipid nanoparticles generated by microfluidic mixing","year":2018,"lang":"en","type":"article","venue":"Journal of Leukocyte Biology","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; National Research Council Canada; National Institute for Nanotechnology","funders":"National Research Council Canada; Canadian Institutes of Health Research","keywords":"Transfection; Biology; Lipofectamine; Gene delivery; Mast cell; Plasmid; Molecular biology; Electroporation; Cell biology; Transduction (biophysics); Nucleic acid; Cell culture; DNA; Cell; Transgene; Genetic enhancement; Gene; Immunology; Biochemistry; Recombinant DNA; Vector (molecular biology); Genetics","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":[0.0004098921,0.0003997794,0.0002409158,0.0002374976,0.0001718348,0.0003477101,0.0002496354,0.0004386126,0.0006686899],"category_scores_gemma":[0.0002204106,0.0001464598,0.0002669165,0.000236775,0.0002360302,0.0001999654,0.0003041748,0.000477054,0.000403707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002695809,"about_ca_system_score_gemma":0.0002014299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000414189,"about_ca_topic_score_gemma":0.0005764079,"domain_scores_codex":[0.9996979,0.0000465419,0.00003370251,0.0001127791,0.00007058642,0.00003850934],"domain_scores_gemma":[0.9999301,0.00002244103,0.00001951881,0.000009010138,0.00001241581,0.000006447035],"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":[0.0000204898,0.000009063134,0.00006257895,0.00002804333,0.000002748515,0.00002921116,0.00003327539,0.00006841274,0.9980338,0.0001137184,0.00005119756,0.001547491],"study_design_scores_gemma":[0.00001170595,0.0001118226,0.0002823838,0.000004129404,0.000009393253,0.00008216474,0.00000903044,0.001062501,0.9952485,0.00003418466,0.003139198,0.000005017849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8857293,0.003442741,0.1043352,0.0004317364,0.0001886986,0.0004199857,0.0007326612,0.0006485499,0.004071173],"genre_scores_gemma":[0.920306,0.001921147,0.07153624,0.0001796203,0.0000353315,0.0004199587,0.0009195105,0.00005342697,0.004628839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006686899,"threshold_uncertainty_score":0.002237022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763989578796864,"score_gpt":0.2802736683316338,"score_spread":0.2626337725436651,"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."}}