{"id":"W4385496703","doi":"10.1016/j.ymthe.2023.07.022","title":"Development of an mRNA-lipid nanoparticle vaccine against Lyme disease","year":2023,"lang":"en","type":"article","venue":"Molecular Therapy","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acuitas Therapeutics (Canada)","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute; National Institutes of Health; Polytechnique Montréal; University of Pennsylvania; Burroughs Wellcome Fund; National Institute of Allergy and Infectious Diseases; Steven and Alexandra Cohen Foundation; Howard Hughes Medical Institute","keywords":"Lyme disease; Virology; Messenger RNA; LYME; Biology; Immunology; Borrelia burgdorferi; Antibody; Biochemistry; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001396569,0.0002752001,0.0002020886,0.0001188188,0.0001023577,0.0002201517,0.0001330091,0.0003323928,0.0006591587],"category_scores_gemma":[0.0001306068,0.0001004868,0.0001822343,0.00005601217,0.0001546822,0.0002016795,0.0001758832,0.0003243425,0.0002493614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001938247,"about_ca_system_score_gemma":0.0002691341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002504875,"about_ca_topic_score_gemma":0.0003509315,"domain_scores_codex":[0.9999285,0.00001006435,0.000005005428,0.00001772065,0.00002437908,0.00001434853],"domain_scores_gemma":[0.9999629,0.000007560935,0.000009277874,0.000002483756,0.000009085547,0.000008707115],"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":[0.00003903639,0.00004666384,0.00007025492,0.00005200676,0.00000439221,0.00004752013,0.00001486557,0.0005264438,0.9940364,0.0002338931,0.00005924899,0.004869367],"study_design_scores_gemma":[0.00004740375,0.001302984,0.0003895645,0.00001146049,0.00002457797,0.0001499548,0.00001536402,0.003195664,0.9892502,0.00009971589,0.005506581,0.000006589432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597052,0.002156398,0.03313821,0.0003579868,0.0001669285,0.0001971803,0.000107665,0.0001570218,0.004013482],"genre_scores_gemma":[0.9689437,0.001583204,0.02501584,0.0001607197,0.00002997073,0.0001536231,0.0002156915,0.00002469884,0.003872623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006591587,"threshold_uncertainty_score":0.002205133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274703644714545,"score_gpt":0.2505418394206941,"score_spread":0.2377948029735487,"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."}}