{"id":"W4401316448","doi":"10.1101/2024.08.02.606386","title":"Engineering ionizable lipids for rapid biodegradation balances mRNA vaccine efficacy and tolerability","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Immunogenicity; Tolerability; Chemistry; Lipid A; Immune system; Vaccine efficacy; Biochemistry; Pharmacology; Adverse effect; Immunology; Biology; Lipopolysaccharide","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":[0.0003732403,0.0004458557,0.0002307321,0.0001729668,0.0001164586,0.0004742454,0.0001871776,0.000290359,0.001037916],"category_scores_gemma":[0.0002883124,0.0001567628,0.0002110075,0.0001576827,0.0002810436,0.0003765243,0.0003090388,0.0003915562,0.0004687821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003758873,"about_ca_system_score_gemma":0.0003342901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004001792,"about_ca_topic_score_gemma":0.0005171241,"domain_scores_codex":[0.9998218,0.00002815193,0.00001708463,0.00004202273,0.00004478085,0.00004620759],"domain_scores_gemma":[0.9998331,0.00003178855,0.00008177483,0.00001173544,0.0000239425,0.00001764007],"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":[0.00007661634,0.00001714498,0.0001288254,0.00003414871,0.000003181909,0.00001566631,0.000006319376,0.0004405254,0.9979056,0.0001104061,0.00002457297,0.00123689],"study_design_scores_gemma":[0.00000876259,0.0001180134,0.0001729676,0.000002727311,0.00000454089,0.00001725775,0.00000580566,0.0008379276,0.9980571,0.00003691071,0.0007348084,0.000003083828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726607,0.0008481726,0.02334728,0.0001654947,0.00003746644,0.00009818282,0.000232904,0.0001734924,0.002436351],"genre_scores_gemma":[0.979198,0.0006318454,0.0176284,0.00005865845,0.000008764335,0.00006517142,0.0001519559,0.00007612557,0.002181059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001037916,"threshold_uncertainty_score":0.003472209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009691974185111769,"score_gpt":0.2189891395061091,"score_spread":0.2092971653209973,"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."}}