{"id":"W4313292239","doi":"10.1101/2022.12.26.521940","title":"ESCRT recruitment to mRNA-encoded SARS-CoV-2 spike induces virus-like particles and enhanced antibody responses","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acuitas Therapeutics (Canada)","funders":"Houston Methodist Research Institute; National Institutes of Health; California Institute of Technology; Fast Grants; George Mason University; Bill and Melinda Gates Foundation","keywords":"Virology; Antibody; Messenger RNA; Spike (software development); Neutralizing antibody; Biology; Spike Protein; Virus; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Molecular biology; Gene; Medicine; Immunology; Genetics; Disease","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":[0.0001130066,0.0002534967,0.000167434,0.0001116518,0.00008774472,0.0002518868,0.00007834512,0.0002557737,0.001822122],"category_scores_gemma":[0.00009789037,0.0001124937,0.0001695568,0.00007263866,0.0001451,0.0001177722,0.0002206097,0.0004200685,0.0009031529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002281688,"about_ca_system_score_gemma":0.0001470887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001932098,"about_ca_topic_score_gemma":0.0003855136,"domain_scores_codex":[0.9999005,0.00001506471,0.000006749227,0.00002389133,0.000021711,0.00003208167],"domain_scores_gemma":[0.9999609,0.000007993024,0.000007317805,0.000005386618,0.000005296672,0.00001325427],"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":[0.00004680982,0.00001969678,0.00008705707,0.00001046191,0.000001304181,0.00001687682,0.000006213645,0.00004295551,0.9987086,0.00004360588,0.0000583623,0.00095798],"study_design_scores_gemma":[0.00002068179,0.0002750301,0.001966953,0.000002724586,0.000003605186,0.0001091194,0.00001218224,0.0007703763,0.9946008,0.0000352461,0.002201605,0.000001864268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904384,0.0005357548,0.004597908,0.0001297313,0.0000476764,0.00004149968,0.0003026163,0.000141463,0.003764975],"genre_scores_gemma":[0.9885319,0.0003100175,0.004541129,0.000156503,0.0000227747,0.00003589247,0.0007468511,0.00005499227,0.005599923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001822122,"threshold_uncertainty_score":0.006095588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0849772755869041,"score_gpt":0.3615526612092289,"score_spread":0.2765753856223248,"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."}}