{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002271142,0.0004049663,0.0002981892,0.000686419,0.0003102086,0.000347696,0.0001746076,0.0003252259,0.00211755],"category_scores_gemma":[0.0004118106,0.0001736201,0.0002165992,0.0003629662,0.000182424,0.0001399258,0.0002350796,0.0003381638,0.0004973604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001596564,"about_ca_system_score_gemma":0.0001288445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001634513,"about_ca_topic_score_gemma":0.0009084828,"domain_scores_codex":[0.9998406,0.00001979934,0.00001799765,0.00004363949,0.0000301328,0.00004781884],"domain_scores_gemma":[0.9998255,0.00003510192,0.00002410783,0.0000162989,0.00005464887,0.00004435226],"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":[0.000857892,0.000839348,0.2236727,0.0001372611,0.0000652502,0.002739284,0.001039573,0.0001043434,0.7453969,0.0002514379,0.0008072733,0.02408863],"study_design_scores_gemma":[0.0003167532,0.005626242,0.8908766,0.00004477045,0.0001335026,0.0149609,0.00102876,0.0008789721,0.07379838,0.0002259171,0.0120854,0.00002370116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986258,0.000271937,0.0002953127,0.00002775978,0.00001444513,0.00005046888,0.000157802,0.000007708289,0.0005488864],"genre_scores_gemma":[0.9967092,0.0002793485,0.0005445672,0.0001652005,0.00005725048,0.00004721582,0.001011196,0.000009088784,0.001176881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00211755,"threshold_uncertainty_score":0.007083893,"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."}}