{"id":"W3195399388","doi":"10.1002/evl3.252","title":"Mosaic vaccination: How distributing different vaccines across a population could improve epidemic control","year":2021,"lang":"en","type":"article","venue":"Evolution Letters","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vaccination; Virology; Biology; Population; Epitope; Antigen; Vaccine efficacy; Immunity; Pathogen; Immune system; Herd immunity; Immunology; Medicine; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019983,0.0002108783,0.00021785,0.00002429364,0.0002304987,0.00009820658,0.0001355969,0.000141416,0.00001606851],"category_scores_gemma":[0.0002382012,0.0001954681,0.0001507941,0.0001182265,0.00001123363,0.00002658949,0.0001013266,0.0001380947,0.000005406328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001068681,"about_ca_system_score_gemma":0.00002453973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002466686,"about_ca_topic_score_gemma":0.00002550956,"domain_scores_codex":[0.9987617,0.0000771007,0.0003271722,0.0003130576,0.0001528134,0.0003681395],"domain_scores_gemma":[0.9992,0.00002136891,0.0002178272,0.0003628038,0.0001349759,0.00006304443],"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":[0.0001160892,0.0001086806,0.173766,0.0001291349,0.000219992,0.000003942514,0.000118735,0.002403326,0.804372,0.0004570539,0.01425886,0.004046131],"study_design_scores_gemma":[0.005007648,0.0001761617,0.8988013,0.00004891266,0.00010832,0.00008931212,0.0007460325,0.04302701,0.04458381,0.0002136648,0.006327964,0.0008698169],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8907704,0.0007066995,0.1016265,0.006118629,0.000398232,0.0002119348,0.0001187157,0.00002919231,0.00001959421],"genre_scores_gemma":[0.9964591,0.00003631605,0.0002328108,0.0009204553,0.0004049118,0.00003877588,0.001685994,0.00002011161,0.0002015269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7597882,"threshold_uncertainty_score":0.7970959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007853504159793122,"score_gpt":0.2370225855151696,"score_spread":0.2291690813553764,"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."}}