{"id":"W3037923073","doi":"10.1016/j.cell.2020.06.035","title":"A Universal Design of Betacoronavirus Vaccines against COVID-19, MERS, and SARS","year":2020,"lang":"en","type":"article","venue":"Cell","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":528,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Chinese Academy of Agricultural Sciences; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Biology; Betacoronavirus; Coronavirus disease 2019 (COVID-19); Virology; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus Infections; Coronavirus; Sars virus; Middle East respiratory syndrome coronavirus; Pandemic; Middle East respiratory syndrome; Outbreak; Infectious disease (medical specialty); Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001452082,0.0001203125,0.0002574379,0.00007971033,0.00004733836,0.000009746417,0.0001194855,0.00006299194,0.00002637641],"category_scores_gemma":[0.0001707842,0.0001072499,0.00005530101,0.0002283634,0.00008941912,0.00005150567,0.00007833769,0.000152063,0.00003763885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005714869,"about_ca_system_score_gemma":0.0004377381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001387148,"about_ca_topic_score_gemma":0.000004310216,"domain_scores_codex":[0.9990931,0.00006287071,0.0001565398,0.0002556257,0.0002234904,0.0002083774],"domain_scores_gemma":[0.9994144,0.000155806,0.00004896897,0.0001692817,0.00005842488,0.0001531531],"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":[0.001138747,0.0001055042,0.0227164,0.0005720492,0.00006473934,0.000372438,0.001602465,0.00001537827,0.9644997,0.00003372483,0.006071083,0.002807812],"study_design_scores_gemma":[0.006171904,0.0008687818,0.001481801,0.00003598071,0.0001451996,0.00001429728,0.001140366,0.003298698,0.7257871,0.00007356043,0.2607322,0.0002501281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858505,0.001968444,0.004040411,0.002406099,0.00005044734,0.0005420683,0.0000175322,0.00007820366,0.005046275],"genre_scores_gemma":[0.9383673,0.00008061406,0.0006190893,0.06074001,0.00008306873,0.000004786953,0.000003743279,0.00002222575,0.00007915428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2546611,"threshold_uncertainty_score":0.4373526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08306469771713039,"score_gpt":0.3358507087775985,"score_spread":0.2527860110604682,"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."}}