{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07569145,0.001014687,0.001600847,0.002070897,0.0005126281,0.002415036,0.0009823528,0.001056097,0.00341995],"category_scores_gemma":[0.03985881,0.0004614453,0.001132307,0.002177664,0.001498702,0.002148495,0.001985325,0.002539296,0.000701294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002231281,"about_ca_system_score_gemma":0.004099302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001006762,"about_ca_topic_score_gemma":0.001215358,"domain_scores_codex":[0.9575715,0.03140927,0.002586202,0.001316902,0.006190451,0.000925706],"domain_scores_gemma":[0.9514607,0.02073047,0.01238383,0.002901193,0.01133298,0.001190779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01109923,0.001957482,0.180932,0.0103933,0.001481736,0.0003064201,0.0008593632,0.003288039,0.0618888,0.02653518,0.01535038,0.6859081],"study_design_scores_gemma":[0.001603696,0.05903993,0.3589946,0.009079808,0.003087217,0.001625668,0.002009384,0.004629872,0.1688316,0.02760388,0.3632291,0.0002652669],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3683208,0.3925405,0.1200686,0.03396225,0.004343079,0.01003178,0.009494185,0.0005692948,0.06066956],"genre_scores_gemma":[0.8370925,0.05529432,0.08426668,0.006730535,0.001714845,0.005052968,0.005171854,0.0001252875,0.004550877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07569145,"threshold_uncertainty_score":0.4002994,"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."}}