{"id":"W3176513568","doi":"10.1016/j.celrep.2021.109353","title":"Isolation and characterization of cross-neutralizing coronavirus antibodies from COVID-19+ subjects","year":2021,"lang":"en","type":"article","venue":"Cell Reports","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Argonne National Laboratory; National Institutes of Health; Fondation du CHUM; Merck; Biological and Environmental Research; National Institute of Allergy and Infectious Diseases; Bill and Melinda Gates Foundation; Club Foundation; U.S. Department of Energy","keywords":"Virology; Epitope; Antibody; Neutralizing antibody; Neutralization; Coronavirus; Biology; Epitope mapping; Coronavirus disease 2019 (COVID-19); Virus; Immunology; Medicine; Disease; 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":[0.0002153643,0.0001112012,0.0002598877,0.00007928907,0.00008518271,0.00005310294,0.00002747573,0.000105152,0.00004155933],"category_scores_gemma":[0.0003636341,0.0001092846,0.00005712497,0.0001753466,0.0001085564,0.0001457244,0.00005912972,0.0001124383,0.00000426129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006112412,"about_ca_system_score_gemma":0.000484415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000385938,"about_ca_topic_score_gemma":0.00002924369,"domain_scores_codex":[0.9987566,0.00004092021,0.0003851415,0.0003562906,0.0002868247,0.0001742155],"domain_scores_gemma":[0.9990724,0.00009230702,0.0002162694,0.0003206371,0.0002303636,0.00006802667],"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":[0.00004965807,0.0000438901,0.4438668,0.0001511255,0.0000121496,0.0009743197,0.0002864502,2.521154e-7,0.5542401,0.000005600415,0.00001003934,0.0003596436],"study_design_scores_gemma":[0.0003718951,0.0000371274,0.3170947,0.00004307421,0.0000291349,0.0001766656,0.00005052172,0.00006958198,0.6698725,0.0001269796,0.0120552,0.00007261144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963765,0.0007539175,0.0005221892,0.00009110175,0.0001901586,0.0001956156,0.00001173997,0.00004250503,0.001816309],"genre_scores_gemma":[0.9943899,0.00005847179,0.0001527438,0.004986163,0.00009541902,0.000006475532,0.000127416,0.00001808216,0.0001653399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1267721,"threshold_uncertainty_score":0.4456495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06169196860536607,"score_gpt":0.3744192088428365,"score_spread":0.3127272402374704,"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."}}