{"id":"W4385694287","doi":"10.1016/j.celrep.2023.112942","title":"Zika-specific neutralizing antibodies targeting inter-dimer envelope epitopes","year":2023,"lang":"en","type":"article","venue":"Cell Reports","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Walter Reed Army Institute of Research; Biological and Environmental Research; Defense Health Agency; National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; Basic Energy Sciences; Office of Science; National Institutes of Health; National Research Council Canada; University of Chicago; Henry M. Jackson Foundation; Brookhaven National Laboratory; Argonne National Laboratory; U.S. Department of Energy; U.S. Department of Defense","keywords":"Epitope; Virology; Zika virus; Monoclonal antibody; Antibody; Biology; Antigenicity; Antigen; Glycoprotein; Epitope mapping; Virus; Immunology; Molecular biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009151337,0.0002944946,0.0001105001,0.0001649539,0.00009037583,0.0002027784,0.0001646421,0.0001984807,0.001091765],"category_scores_gemma":[0.0001140695,0.00008723107,0.0001234337,0.00008820016,0.0001075676,0.0001064416,0.0001369471,0.0003583618,0.000333708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001689499,"about_ca_system_score_gemma":0.000099555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005969731,"about_ca_topic_score_gemma":0.0009372088,"domain_scores_codex":[0.9999418,0.000007812707,0.00000414239,0.00001248246,0.00001524808,0.00001846467],"domain_scores_gemma":[0.9999638,0.00000627804,0.000008728131,0.000004320149,0.000008728855,0.000008278245],"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":[0.00002802979,0.00002494612,0.001236946,0.00002351571,0.000006334893,0.00002086041,0.00001168129,0.00005805272,0.9951262,0.0001255862,0.0000958101,0.003242081],"study_design_scores_gemma":[0.00006014839,0.0007050859,0.03224405,0.00002196469,0.00005523897,0.00103884,0.00004980555,0.001987489,0.9522838,0.0002456772,0.01130048,0.000007321057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887859,0.001676703,0.004688437,0.000102573,0.00002543122,0.00008954958,0.000189438,0.00006284973,0.004379084],"genre_scores_gemma":[0.9925848,0.001044553,0.004356991,0.0001659126,0.0000151416,0.00003066093,0.0005031839,0.000007509056,0.001291184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001091765,"threshold_uncertainty_score":0.003652334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061979439801349,"score_gpt":0.2706605884979528,"score_spread":0.2500407940999393,"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."}}