{"id":"W3190907413","doi":"10.1111/imm.13399","title":"Sensitive detection of anti‐spike antibodies enables improved understanding of SARS‐CoV‐2 pathogenesis","year":2021,"lang":"en","type":"editorial","venue":"Immunology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Pathogenesis; Antibody; Spike (software development); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Spike Protein; Virology; Coronavirus disease 2019 (COVID-19); Biology; Computational biology; Medicine; Immunology; Pathology; Computer science; Disease; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004870229,0.0003664854,0.00142976,0.0006660807,0.0001017951,0.00001722723,0.0001939381,0.001399764,0.000004578252],"category_scores_gemma":[0.001962037,0.0003483451,0.0003509537,0.0004697416,0.0006242227,0.00006416394,0.000250027,0.000849197,0.000006378105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004422971,"about_ca_system_score_gemma":0.001270074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001250488,"about_ca_topic_score_gemma":0.0002844864,"domain_scores_codex":[0.9973757,0.0002947636,0.0006951758,0.0005827745,0.0005399135,0.0005116854],"domain_scores_gemma":[0.9967278,0.001082349,0.0004792262,0.0006255787,0.001069273,0.00001577293],"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":[0.0009834565,0.0001399536,0.000211097,0.0008404249,0.001140049,0.0001864042,0.0003176447,6.54235e-8,0.9885434,0.00002621296,0.005905516,0.001705812],"study_design_scores_gemma":[0.001603501,0.0008154848,0.0002974237,0.0004659813,0.0003166037,0.00003797787,0.001601666,0.00001998194,0.9014602,0.00008423005,0.09306662,0.0002302783],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5706689,0.009065119,0.002034799,0.00006795358,0.4163492,0.0007228943,0.0003159842,0.00009352457,0.0006815594],"genre_scores_gemma":[0.8345674,0.001571531,0.0001918752,0.0004111136,0.1627693,0.00003759804,0.0002088045,0.0001560575,0.00008637033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2638984,"threshold_uncertainty_score":0.9998969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04304453328876856,"score_gpt":0.3372869100246914,"score_spread":0.2942423767359229,"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."}}