{"id":"W4400216566","doi":"10.3934/biophy.2024014","title":"COVID19 vaccines as boosters or first doses: simulating scenarios to minimize infections and deaths","year":2024,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Booster (rocketry); Pandemic; Booster dose; Population; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Public health; Medicine; Environmental health; Computer science; Virology; Immunology; Disease; Infectious disease (medical specialty); Immunization; Geography; Engineering; Antigen","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001213187,0.0004940216,0.0006636996,0.0005209349,0.0003058999,0.0006852291,0.0009125846,0.00143565,0.002287737],"category_scores_gemma":[0.004238936,0.0003566527,0.0008048636,0.0003241359,0.0005624933,0.0007542719,0.000672087,0.000833268,0.0001566231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486561,"about_ca_system_score_gemma":0.0008511133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01061172,"about_ca_topic_score_gemma":0.0069058,"domain_scores_codex":[0.9995928,0.0002368895,0.00001177696,0.00004737293,0.0000208041,0.00009029543],"domain_scores_gemma":[0.9979296,0.001493992,0.0002194872,0.00009461587,0.00009753908,0.0001647861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001851563,0.00009528242,0.004074893,0.00003008778,0.0000302883,0.00008101148,0.0000553571,0.9885296,0.0006827305,0.004488519,0.0002798971,0.0014672],"study_design_scores_gemma":[0.0001227518,0.0001721824,0.001593397,0.00001346447,0.00003148528,0.00002633219,0.0001082412,0.9931546,0.0005478094,0.00373299,0.0004857752,0.00001088546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745005,0.0002156513,0.01993757,0.0007008457,0.00003272084,0.0000665051,0.0004904409,0.00003969452,0.004015931],"genre_scores_gemma":[0.9931998,0.0001125014,0.004962691,0.00005033319,0.000007950102,0.00006564423,0.0001661419,0.000008960321,0.001426155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01061172,"threshold_uncertainty_score":0.02109987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1482102884508933,"score_gpt":0.418982571518093,"score_spread":0.2707722830671998,"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."}}