{"id":"W3018430151","doi":"10.1101/2020.04.22.055608","title":"Self-amplifying RNA SARS-CoV-2 lipid nanoparticle vaccine induces equivalent preclinical antibody titers and viral neutralization to recovered COVID-19 patients","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acuitas Therapeutics (Canada)","funders":"Engineering and Physical Sciences Research Council","keywords":"Immunogenicity; Virology; Titer; Coronavirus disease 2019 (COVID-19); Neutralization; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; RNA; Antibody; 2019-20 coronavirus outbreak; Antibody titer; Biology; Virus; Medicine; Immunology; Infectious disease (medical specialty); Gene; 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":[0.0002187596,0.0003723094,0.0001964561,0.0001414298,0.00008927473,0.000261194,0.0001290285,0.0003524947,0.001768439],"category_scores_gemma":[0.0001821419,0.00007743606,0.0001789708,0.00005621595,0.0001994218,0.0001593228,0.0001639514,0.000407545,0.0004792152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001878413,"about_ca_system_score_gemma":0.0001977027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003148825,"about_ca_topic_score_gemma":0.000284719,"domain_scores_codex":[0.9998754,0.00002219271,0.000008760223,0.00002548905,0.0000402729,0.00002793115],"domain_scores_gemma":[0.999939,0.00001423727,0.00001305596,0.00000856677,0.00001172824,0.00001337834],"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":[0.0002272564,0.0001703439,0.0001659883,0.00002008138,0.000005885201,0.00004445945,0.00001749129,0.0001512489,0.9967668,0.0001086316,0.0001732911,0.002148385],"study_design_scores_gemma":[0.00006328474,0.001887149,0.001096774,0.000004775122,0.00001173122,0.0001604754,0.00001759602,0.001450771,0.9930637,0.00007245992,0.002167845,0.000003254798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886424,0.0006117099,0.006639067,0.0002033963,0.0001028602,0.000106761,0.0003557837,0.0001789478,0.003159071],"genre_scores_gemma":[0.9911039,0.000220953,0.003381387,0.0001272398,0.00002203176,0.00005131614,0.0005356006,0.00004161112,0.004515956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001768439,"threshold_uncertainty_score":0.005915999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07035906400901121,"score_gpt":0.3588271196099029,"score_spread":0.2884680556008917,"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."}}