{"id":"W4400337035","doi":"10.1016/j.vetimm.2024.110803","title":"The mRNA vaccine platform for veterinary species","year":2024,"lang":"en","type":"review","venue":"Veterinary Immunology and Immunopathology","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Agri-Food Innovation Alliance","keywords":"Vaccination; Pandemic; Biology; Animal health; Vaccine efficacy; Attenuated vaccine; Veterinary medicine; One Health; Virology; Coronavirus disease 2019 (COVID-19); Medicine; Immunology; Disease; Infectious disease (medical specialty); Public health; Virulence","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":[0.0003780705,0.0005922136,0.0005822767,0.001348772,0.0001972444,0.0006879151,0.0005037945,0.001041672,0.00503431],"category_scores_gemma":[0.0004050053,0.0002010912,0.0003654867,0.0008299252,0.000326635,0.001154157,0.0005821139,0.001711501,0.003299983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004202928,"about_ca_system_score_gemma":0.0007555147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005103029,"about_ca_topic_score_gemma":0.0007166168,"domain_scores_codex":[0.9998611,0.00002400408,0.00001463031,0.00002017531,0.00006322422,0.00001686747],"domain_scores_gemma":[0.9998733,0.000053616,0.00002161369,0.000004726587,0.00003264535,0.00001407222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004541868,0.00006376525,0.00008694159,0.009845555,0.00003164741,0.0001887526,0.0000497227,0.0003274035,0.01374025,0.00740621,0.0273101,0.9409042],"study_design_scores_gemma":[0.00000494812,0.00007622407,0.000174017,0.0009243604,0.00002473609,0.0005129513,0.00001595449,0.00005251214,0.001440137,0.0009304218,0.9958376,0.000006257109],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004238825,0.9924431,0.0009371807,0.0006444488,0.0007739506,0.00001770624,0.00004927415,0.00003485544,0.004675501],"genre_scores_gemma":[0.001945703,0.9925153,0.001031974,0.0004995019,0.0003026442,0.00002274603,0.0000999303,0.000007121609,0.003575108],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00503431,"threshold_uncertainty_score":0.01684141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05340996019661422,"score_gpt":0.3253207202309213,"score_spread":0.2719107600343071,"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."}}