{"id":"W4322737345","doi":"10.18632/aging.204572","title":"Parsing chronological and biological age effects on vaccine responses","year":2023,"lang":"en","type":"article","venue":"Aging","topic":"Immune responses and vaccinations","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"NOSM University; Health Sciences North","funders":"","keywords":"Parsing; Biological age; Biology; Virology; Computer science; Computational biology; Artificial intelligence; Evolutionary biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003031669,0.0001217416,0.0001849996,0.0001719845,0.0003120911,0.00001935616,0.00009169333,0.0001494425,0.00008632017],"category_scores_gemma":[0.0004226895,0.00008963607,0.00004628126,0.0002070381,0.00004436556,0.00003444224,0.0001162337,0.0002167388,0.000570007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001976482,"about_ca_system_score_gemma":0.00001157182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001265149,"about_ca_topic_score_gemma":0.00000178009,"domain_scores_codex":[0.9989632,0.0003136428,0.0001337886,0.0002463454,0.0000168623,0.0003261354],"domain_scores_gemma":[0.9984598,0.001324489,0.00003357114,0.0001542186,0.00001230682,0.00001557895],"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":[0.0007874548,0.00008334741,0.02880203,0.00002893124,0.0001294299,0.0003053028,0.0005201307,0.000005590632,0.8193604,0.004685304,0.005240508,0.1400515],"study_design_scores_gemma":[0.001327479,0.000420565,0.9152508,0.00007301546,0.00001612174,0.00009100197,0.0001517655,0.00001283165,0.04567837,0.0004948699,0.0362986,0.0001845384],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953583,0.001791401,0.00003006544,0.001811257,0.0003048782,0.0001299712,0.000003514544,0.0002724379,0.0002981233],"genre_scores_gemma":[0.9977272,0.0003205037,0.00002943877,0.0003011792,0.00003290838,0.00001698801,0.00003767163,0.000008867839,0.001525306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8864488,"threshold_uncertainty_score":0.7326477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03003377642003102,"score_gpt":0.293888499754385,"score_spread":0.2638547233343539,"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."}}