{"id":"W4402302754","doi":"10.1016/j.celrep.2024.114708","title":"Defining bottlenecks and opportunities for Lassa virus neutralization by structural profiling of vaccine-induced polyclonal antibody responses","year":2024,"lang":"en","type":"article","venue":"Cell Reports","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Institutes of Health; Stichting voor Fundamenteel Onderzoek der Materie; Deutsche Forschungsgemeinschaft; Philipps-Universität Marburg; Achievement Rewards for College Scientists Foundation; National Institute of Allergy and Infectious Diseases; Bill and Melinda Gates Foundation","keywords":"Neutralization; Polyclonal antibodies; Virology; Lassa virus; Antibody; Biology; Profiling (computer programming); Virus; Computational biology; Genetics; Computer science","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":[0.001019068,0.0003087676,0.0003348396,0.000276933,0.0002632265,0.0009363386,0.0003498816,0.0003727025,0.0006093398],"category_scores_gemma":[0.0008978833,0.0002318957,0.0001805095,0.0001680799,0.0003937125,0.001082657,0.0003504914,0.000817037,0.0002148285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004256786,"about_ca_system_score_gemma":0.0003740291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004780641,"about_ca_topic_score_gemma":0.000838869,"domain_scores_codex":[0.9996545,0.00007087603,0.00001955222,0.00007407414,0.00008630752,0.00009466153],"domain_scores_gemma":[0.9996217,0.0001315835,0.00008213329,0.00005031803,0.00006807147,0.00004616668],"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":[0.00007354729,0.00003926677,0.00273714,0.00006092095,0.000009714936,0.00004426399,0.00006513855,0.0004777253,0.9898761,0.0008299274,0.00009975311,0.005686618],"study_design_scores_gemma":[0.00001403267,0.000702868,0.02113609,0.00003959141,0.00002886287,0.0005075374,0.0003971589,0.01582265,0.9514604,0.003079349,0.006789296,0.00002214935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585419,0.003323688,0.03500848,0.0004785819,0.00003036915,0.00007069104,0.0002165274,0.0001915522,0.002138144],"genre_scores_gemma":[0.9829948,0.001660111,0.01433287,0.0001589968,0.00001954716,0.00004312188,0.0002923947,0.00004050296,0.0004577167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001019068,"threshold_uncertainty_score":0.005389392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04710352447371903,"score_gpt":0.3628054927880022,"score_spread":0.3157019683142832,"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."}}