{"id":"W3214428032","doi":"10.1038/s41598-021-02484-9","title":"Author Correction: Cross-reactivity of antibodies from non-hospitalized COVID-19 positive individuals against the native, B.1.351, B.1.617.2, and P.1 SARS-CoV-2 spike proteins","year":2021,"lang":"en","type":"erratum","venue":"Scientific Reports","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Centre hospitalier universitaire de Québec; Héma-Québec; PROTEO; Université Laval; Université de Montréal; Regroupement Québécois sur les Matériaux de Pointe","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Spike Protein; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Antibody; Cross-reactivity; Virology; Betacoronavirus; Spike (software development); Medicine; Computational biology; Biology; Cross reactions; Immunology; Computer science; Internal medicine; Outbreak","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":[0.001953376,0.002077245,0.001674376,0.002830746,0.002144413,0.002215032,0.002941612,0.005414251,0.03134204],"category_scores_gemma":[0.03240221,0.001149304,0.001328916,0.001494725,0.001611419,0.001613201,0.001192627,0.008660694,0.02356294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002468833,"about_ca_system_score_gemma":0.002652634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01436993,"about_ca_topic_score_gemma":0.01750943,"domain_scores_codex":[0.9978808,0.000284459,0.0004859336,0.0003311349,0.0008358498,0.0001818044],"domain_scores_gemma":[0.9836785,0.004117877,0.0009211705,0.001007228,0.00947854,0.0007966525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004513573,0.00001000183,0.00009957726,0.0001131143,0.00001258763,0.0008927138,0.00002984815,0.00004713347,0.00007813278,0.0003897617,0.9922606,0.006021281],"study_design_scores_gemma":[0.00004905313,0.00003340931,0.001034988,0.0003052584,0.00004583418,0.002846109,0.000105283,0.0002802636,0.0006327913,0.0008378135,0.993789,0.00004019457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002312725,0.0005742431,0.000427829,0.02281629,0.9733682,0.0000187391,0.0005182479,0.0001757892,0.001869451],"genre_scores_gemma":[0.03104638,0.01070094,0.007721278,0.08896505,0.4947494,0.0001767575,0.003727515,0.001676501,0.3612362],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03134204,"threshold_uncertainty_score":0.1048496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04089855675623462,"score_gpt":0.3757094932519777,"score_spread":0.3348109364957431,"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."}}