{"id":"W3155069380","doi":"10.1039/d1sc01203g","title":"Prediction and mitigation of mutation threats to COVID-19 vaccines and antibody therapies","year":2021,"lang":"en","type":"article","venue":"Chemical Science","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Nvidia; National Institute of General Medical Sciences; George Mason University; Nuclear Safety and Security Commission; Bristol-Myers Squibb; National Aeronautics and Space Administration; National Institutes of Health; National Science Foundation; Michigan Economic Development Corporation; National Institute of Allergy and Infectious Diseases; Pfizer","keywords":"Antibody; Mutation; Mutant; Biology; Virology; Genetics; Immune system; Computational biology; Gene","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":[0.000897495,0.0006408591,0.0005958882,0.001015552,0.0002937694,0.0008610176,0.0004149982,0.0007982513,0.0008747944],"category_scores_gemma":[0.002997963,0.000288175,0.0005070611,0.0003409245,0.0003144967,0.0008634811,0.0005187229,0.0007088117,0.0002788361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007861591,"about_ca_system_score_gemma":0.0008785668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002791059,"about_ca_topic_score_gemma":0.00193629,"domain_scores_codex":[0.9996742,0.00007622356,0.00002023944,0.00006799802,0.0000853727,0.0000760609],"domain_scores_gemma":[0.9990517,0.0003741812,0.0002592079,0.00005523283,0.0001437333,0.0001159849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003829486,0.0002023968,0.1016974,0.0001708349,0.0001207811,0.0003336931,0.00004882175,0.8214231,0.01839348,0.005171974,0.002251773,0.04980278],"study_design_scores_gemma":[0.00001076589,0.0001306206,0.008793185,0.00001233127,0.00002493324,0.00007745456,0.00004074576,0.9838013,0.003354085,0.00303981,0.000703493,0.0000112935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457595,0.001080411,0.04854374,0.0006747811,0.00004725927,0.00005579198,0.000517349,0.0004377712,0.002883373],"genre_scores_gemma":[0.9907382,0.0003094098,0.007796858,0.00006555208,0.00001239592,0.00002328181,0.000554004,0.00002122718,0.0004790058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002791059,"threshold_uncertainty_score":0.005703986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04396807327905102,"score_gpt":0.3892556198755521,"score_spread":0.3452875465965011,"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."}}