{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004644804,0.0005153067,0.000451853,0.0002623601,0.0002683815,0.0005096481,0.000504273,0.0004574668,0.001589664],"category_scores_gemma":[0.0003756745,0.0002651507,0.0003699626,0.0001785614,0.0002614056,0.0003762293,0.0004841895,0.00111029,0.0004781924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009094658,"about_ca_system_score_gemma":0.001032061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008610311,"about_ca_topic_score_gemma":0.001611704,"domain_scores_codex":[0.9996907,0.00003487418,0.00002815667,0.0000666967,0.0000504448,0.000129324],"domain_scores_gemma":[0.9998075,0.00001522152,0.00003927059,0.00002459092,0.00005159831,0.00006180942],"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":[0.0004413465,0.0002459481,0.0006700148,0.0001123337,0.00002563149,0.0000630162,0.00005397237,0.001866655,0.9767331,0.00162503,0.0007531832,0.01740973],"study_design_scores_gemma":[0.0003988208,0.004469125,0.002297421,0.00005722773,0.0001006882,0.000371063,0.0001090269,0.007404365,0.9498042,0.0006360005,0.03432643,0.0000257787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.945197,0.003205509,0.04294229,0.0005742342,0.0005884366,0.0008560774,0.0008027912,0.0003121201,0.005521558],"genre_scores_gemma":[0.9564987,0.001626574,0.03636766,0.0006653202,0.00005351611,0.0003565277,0.001334832,0.00005515548,0.003041688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001589664,"threshold_uncertainty_score":0.006598651,"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."}}