{"id":"W4414254781","doi":"10.1101/2025.09.09.675153","title":"Self-multimerization of mRNA LNP-derived antigen improves antibody responses","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Networks of Centres of Excellence of Canada; Canadian Glycomics Network; Canadian Institutes of Health Research; Cancer Research UK","keywords":"Immunogenicity; Antigen; Context (archaeology); Antibody; Messenger RNA; Protein subunit; Epitope; Recombinant DNA","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001674077,0.0002263252,0.0002050464,0.0001408514,0.0000742248,0.0001926041,0.0001118936,0.0001951861,0.001924547],"category_scores_gemma":[0.0001287525,0.00006566277,0.0001680248,0.00009752596,0.0001182542,0.0001332438,0.0001397368,0.0004216428,0.0004223506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002021651,"about_ca_system_score_gemma":0.0001136977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002741688,"about_ca_topic_score_gemma":0.0003356173,"domain_scores_codex":[0.9998751,0.00002086912,0.00001061589,0.00002781018,0.00003512577,0.00003048876],"domain_scores_gemma":[0.9999077,0.0000199757,0.00002202603,0.00001293355,0.00001496594,0.00002227698],"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":[0.00002893937,0.00001670116,0.0001494866,0.00000966355,0.000002437561,0.00000738683,0.000003713375,0.00005761613,0.9988052,0.00002646996,0.00002658324,0.0008659093],"study_design_scores_gemma":[0.000003754398,0.0001723381,0.001348189,0.000001152879,0.000005027251,0.00004313308,0.000005232287,0.0005320471,0.9973121,0.00001355028,0.000562511,0.000001024715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945339,0.0003704473,0.003923093,0.00004423042,0.0000178067,0.00001644036,0.0001102737,0.00007559775,0.0009082849],"genre_scores_gemma":[0.9937279,0.0001743807,0.003232464,0.00004062599,0.000007967714,0.00001269046,0.0002021043,0.00002852415,0.002573345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001924547,"threshold_uncertainty_score":0.006438255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009620104718096661,"score_gpt":0.2640003135790302,"score_spread":0.2543802088609335,"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."}}