{"id":"W3133757346","doi":"10.1016/j.chom.2021.02.010","title":"The great escape? SARS-CoV-2 variants evading neutralizing responses","year":2021,"lang":"en","type":"article","venue":"Cell Host & Microbe","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research; Canada Foundation for Innovation; Ministère de la Santé et des Services sociaux; Genome Canada","keywords":"Biology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Virology; 2019-20 coronavirus outbreak; Sars virus; Computational biology; Outbreak; Infectious disease (medical specialty)","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":[0.001032996,0.0005229994,0.0004848276,0.0001620585,0.0003541256,0.001277165,0.0003129015,0.001122427,0.003475574],"category_scores_gemma":[0.001394458,0.0001689183,0.0003025552,0.00008195081,0.0006256626,0.001118077,0.000813212,0.001672317,0.001028503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004056863,"about_ca_system_score_gemma":0.000256679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003019405,"about_ca_topic_score_gemma":0.0003900156,"domain_scores_codex":[0.9994864,0.0001214435,0.00002351532,0.0000610013,0.00008857998,0.0002190413],"domain_scores_gemma":[0.9996619,0.00009937741,0.00004606377,0.00005011633,0.00005999111,0.0000825631],"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":[0.002146135,0.0004590316,0.03261557,0.0005527651,0.0002866321,0.005459738,0.001573798,0.002858759,0.7324985,0.04429864,0.02954249,0.147708],"study_design_scores_gemma":[0.001184874,0.01152147,0.08588758,0.0009395737,0.000497694,0.04310352,0.01039703,0.01671059,0.3148041,0.08183074,0.4328264,0.0002964336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9451548,0.01566525,0.005312382,0.01321021,0.0009716828,0.00005874999,0.0002208418,0.0002057403,0.01920041],"genre_scores_gemma":[0.9909372,0.002045347,0.0008754334,0.002978144,0.0002662912,0.00001326174,0.0001287163,0.00002711402,0.002728679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003475574,"threshold_uncertainty_score":0.01162696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05014787992759539,"score_gpt":0.3436581886604909,"score_spread":0.2935103087328955,"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."}}