{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006987581,0.0002884865,0.0003732204,0.0001462492,0.0005058157,0.0002454074,0.0003596632,0.0001777946,0.00003835766],"category_scores_gemma":[0.0003853266,0.0002226369,0.0002376498,0.0006246415,0.0001858052,0.0001208113,0.0002821925,0.0005520742,0.0006324042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001823142,"about_ca_system_score_gemma":0.0006813208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001605703,"about_ca_topic_score_gemma":0.00009690706,"domain_scores_codex":[0.9975274,0.0002666069,0.0003853832,0.0005948628,0.0003871986,0.0008385105],"domain_scores_gemma":[0.9980792,0.0005835074,0.00008527149,0.0009086618,0.0002833659,0.00005993144],"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":[0.0004213165,0.0001103229,0.004998203,0.000114733,0.00006272404,0.0009712363,0.0004447603,6.25372e-8,0.9827889,0.00009151115,0.008143147,0.001853046],"study_design_scores_gemma":[0.0008979891,0.00007126178,0.002193123,0.0001117814,0.00005680022,0.0002527728,0.000240831,0.00002998979,0.6391144,0.00003719283,0.3568386,0.0001553314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738488,0.006647168,0.00006482269,0.001560191,0.0004492357,0.0003622823,0.00001378903,0.0001067712,0.01694696],"genre_scores_gemma":[0.9493902,0.0002135488,0.0004137524,0.04592177,0.0004361045,0.00003668365,0.00001041365,0.0001093592,0.003468214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3486954,"threshold_uncertainty_score":0.9078869,"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."}}