{"id":"W4360991491","doi":"10.1002/adma.202211420","title":"Optimizing Lipid Nanoparticles for Delivery in Primates","year":2023,"lang":"en","type":"article","venue":"Advanced Materials","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Potency; Messenger RNA; Pharmacology; Drug delivery; Drug; Nanoparticle; Ethylene glycol; RNA; Conjugated system; In vivo; Nanotechnology; Biology; Medicine; In vitro; Immunology; Virology; Materials science; Biochemistry; Chemistry; Biotechnology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007669894,0.0006345384,0.0002682605,0.0003826834,0.0002412774,0.0004143505,0.0002800638,0.0004571494,0.001056946],"category_scores_gemma":[0.0005043874,0.0002320921,0.0002608051,0.0002335063,0.0002330554,0.0003341913,0.0004428259,0.0004515206,0.0007084787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004724453,"about_ca_system_score_gemma":0.0004336367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006683812,"about_ca_topic_score_gemma":0.001447243,"domain_scores_codex":[0.9996758,0.00008794788,0.00002818631,0.00007045747,0.00009722389,0.00004040333],"domain_scores_gemma":[0.9998676,0.00002884609,0.00004300786,0.00001212486,0.0000360934,0.00001234654],"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":[0.00006006663,0.0000421636,0.00009866426,0.0001440128,0.000008986784,0.00007535244,0.00003952731,0.001046248,0.9919384,0.0005219314,0.0001893125,0.005835301],"study_design_scores_gemma":[0.00003324344,0.0004189577,0.0004543161,0.00003362382,0.00002512606,0.0001849255,0.0000291144,0.002224221,0.9802936,0.0003468525,0.01594305,0.00001303585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7721457,0.01143875,0.187702,0.0007606122,0.000236712,0.001710872,0.00112786,0.0007295592,0.02414783],"genre_scores_gemma":[0.8021222,0.009645646,0.1731498,0.0004838472,0.00004987633,0.001891373,0.001245026,0.0004210538,0.01099108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001056946,"threshold_uncertainty_score":0.004056275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579089265682958,"score_gpt":0.275568515893635,"score_spread":0.2597776232368054,"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."}}