{"id":"W4281692682","doi":"10.1038/s41598-022-12032-8","title":"High-resolution analysis of long-term serum antibodies in humans following convalescence of SARS-CoV-2 infection","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Health Authority; Saskatchewan Health; University of Saskatchewan","funders":"Canadian Institutes of Health Research; Innovation Saskatchewan","keywords":"Epitope; Antibody; Polyclonal antibodies; Virology; Biology; Convalescence; Serology; Epitope mapping; Immunology; Nucleoprotein; Immunogenicity; Medicine; Virus; Pathology","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":[0.0002031971,0.000166778,0.0002700965,0.0003341795,0.0001740338,0.0002819695,0.0001142296,0.0003481201,0.0004522859],"category_scores_gemma":[0.0002507104,0.0001077925,0.0001317888,0.0002132518,0.00009906786,0.0001231975,0.00012582,0.0003000288,0.0001797606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001143559,"about_ca_system_score_gemma":0.0000717505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009105591,"about_ca_topic_score_gemma":0.00116567,"domain_scores_codex":[0.9998963,0.0000185684,0.000005444774,0.00003072344,0.00002394812,0.00002498444],"domain_scores_gemma":[0.9998952,0.00002014713,0.00002591996,0.000007290118,0.0000310998,0.00002030767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001101811,0.0001414967,0.2343182,0.0001238219,0.0001117309,0.0007107783,0.0003290235,0.0003474704,0.7481083,0.00008843986,0.000586034,0.01403285],"study_design_scores_gemma":[0.000009390015,0.0005114225,0.9541387,0.00001077815,0.00005844647,0.001272668,0.0003617102,0.0019506,0.04013199,0.000118135,0.001425201,0.00001103523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972247,0.0006845524,0.001043382,0.00004692834,0.00001294954,0.00001212907,0.0003333663,0.00001916624,0.0006229677],"genre_scores_gemma":[0.9979846,0.0002027228,0.0008101012,0.00009244285,0.00001243214,0.00001367198,0.0004697739,0.000004203122,0.0004100725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009105591,"threshold_uncertainty_score":0.001810551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0504529945426915,"score_gpt":0.3627620860947586,"score_spread":0.3123090915520671,"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."}}