{"id":"W4405943350","doi":"10.1021/acsami.4c20077","title":"Transfection Potency of Lipid Nanoparticles Containing mRNA Depends on Relative Loading Levels","year":2024,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Networks of Centres of Excellence of Canada; Canada Research Chairs; Michael Smith Health Research BC","keywords":"Potency; Materials science; Nanoparticle; Transfection; Messenger RNA; Nanotechnology; Biophysics; Biochemistry; 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":[0.0006505303,0.0003669691,0.0003005172,0.0002771343,0.0001849192,0.0005023892,0.000197696,0.0003246964,0.001192747],"category_scores_gemma":[0.0005507035,0.0002096007,0.0002084333,0.0002368118,0.0003245995,0.0002699317,0.0002497961,0.0005454565,0.0005293049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004201016,"about_ca_system_score_gemma":0.0002539587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008140354,"about_ca_topic_score_gemma":0.0008977401,"domain_scores_codex":[0.9996299,0.00006389641,0.00004811972,0.00009054461,0.0001168162,0.00005070594],"domain_scores_gemma":[0.999605,0.000218526,0.00003983729,0.00003026444,0.00007411223,0.00003226624],"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":[0.00002319784,0.000006715672,0.00004569397,0.00001689771,0.000001962352,0.00000636424,0.00001618334,0.00003186368,0.9993111,0.00003289475,0.00001342017,0.0004937684],"study_design_scores_gemma":[0.000002014525,0.00005885059,0.0005794375,0.000003054446,0.000005641685,0.00001672938,0.000009730524,0.0004984815,0.9984385,0.00001591337,0.0003691333,0.00000251457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817993,0.0009835736,0.01259923,0.0001865389,0.00004646589,0.00003995104,0.0003054245,0.0001970176,0.003842556],"genre_scores_gemma":[0.9759058,0.001057666,0.01451458,0.0001095759,0.00001433984,0.0001321816,0.0009422087,0.0001362197,0.007187492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001192747,"threshold_uncertainty_score":0.003990114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845149482753146,"score_gpt":0.2624424802512564,"score_spread":0.2439909854237249,"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."}}