{"id":"W4409153003","doi":"10.1016/j.celrep.2025.115499","title":"A global collaboration for systematic analysis of broad-ranging antibodies against the SARS-CoV-2 spike protein","year":2025,"lang":"en","type":"article","venue":"Cell Reports","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"Otsuka Pharmaceutical; Shionogi; National Institutes of Health; GHR Foundation; Bill and Melinda Gates Foundation","keywords":"Spike Protein; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Spike (software development); Antibody; Virology; Sars virus; Ranging; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Biology; Computational biology; Medicine; Computer science; Immunology; Outbreak; Internal medicine; Infectious disease (medical specialty); Telecommunications","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":[0.02608157,0.001713341,0.002914141,0.01033614,0.001158553,0.003531155,0.001980771,0.001620766,0.00611783],"category_scores_gemma":[0.01701393,0.0005751937,0.002312364,0.009119228,0.0007830111,0.001407976,0.005130627,0.001757005,0.003784952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002206979,"about_ca_system_score_gemma":0.01459622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004521095,"about_ca_topic_score_gemma":0.006779399,"domain_scores_codex":[0.991305,0.002359469,0.0007911866,0.002253221,0.002245417,0.001045733],"domain_scores_gemma":[0.9723051,0.004467464,0.002389123,0.005337506,0.009772012,0.005728855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.009186153,0.002119467,0.1480713,0.009443545,0.004731834,0.0008753667,0.002115863,0.004301353,0.2756864,0.008100434,0.1736527,0.3617156],"study_design_scores_gemma":[0.002179317,0.004632663,0.1630486,0.002127942,0.003469375,0.001316104,0.001236748,0.004573094,0.07277296,0.005428962,0.7389267,0.0002874147],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3487486,0.05611565,0.05710819,0.00696359,0.001480512,0.004690863,0.4852079,0.01049624,0.02918863],"genre_scores_gemma":[0.1620548,0.008893539,0.1264007,0.003776019,0.0003252377,0.002519473,0.6874578,0.002157461,0.006414982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02608157,"threshold_uncertainty_score":0.1379342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335489999585112,"score_gpt":0.352243919931678,"score_spread":0.3288890199358269,"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."}}