{"id":"W4388741210","doi":"10.1016/j.biologicals.2023.101723","title":"Enabling the evaluation of COVID-19 vaccines with correlates of protection","year":2023,"lang":"en","type":"article","venue":"Biologicals","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Canada; U.S. Food and Drug Administration; University of Oxford; University of Washington; Imperial College London; Dartmouth College; California Institute of Technology; Emory University; Yale University; Coalition for Epidemic Preparedness Innovations; University of Pennsylvania; National Institutes of Health; London School of Hygiene and Tropical Medicine","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Standardization; Vaccination; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Medicine; Alliance; Vaccine efficacy; Virology; Immunology; Computer science; Political science; Outbreak; Infectious disease (medical specialty); Disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002212136,0.00006689575,0.0001810548,0.0001070124,0.00005619773,0.000004460338,0.00008427713,0.00008724609,0.00003731593],"category_scores_gemma":[0.003269661,0.00002959411,0.00004728337,0.0006415091,0.00009715768,0.00001895234,0.0000366582,0.00009825798,0.00002029167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003995118,"about_ca_system_score_gemma":0.0002279505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001071903,"about_ca_topic_score_gemma":0.000009032421,"domain_scores_codex":[0.9989543,0.0002007891,0.0001949494,0.0001557508,0.000364233,0.0001299986],"domain_scores_gemma":[0.9990208,0.0003499369,0.0001057635,0.0001877398,0.0003176316,0.00001812358],"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":[0.001299913,0.0001465928,0.274046,0.0002753785,0.0001251606,0.000007250611,0.0004695916,0.0001536919,0.6979977,0.0003039972,0.0002711884,0.02490351],"study_design_scores_gemma":[0.005577381,0.004469884,0.4052213,0.0002592583,0.0003361995,0.0000580385,0.002659622,0.01553768,0.5337914,0.006197712,0.0256421,0.000249364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997071,0.0004114717,0.0001995151,0.0009160204,0.00003320984,0.0009795909,0.000003176808,0.00005851769,0.0003274921],"genre_scores_gemma":[0.9982966,0.00001701218,0.00001954703,0.001448622,0.00004930679,0.0001415612,0.000004275691,0.000004695043,0.00001840359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1642062,"threshold_uncertainty_score":0.3914325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2236644859676677,"score_gpt":0.4312918725802356,"score_spread":0.2076273866125679,"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."}}