{"id":"W4394785336","doi":"10.1101/2024.04.12.24305705","title":"COVID19 vaccines as boosters or first doses: Simulating scenarios to minimize infections and deaths","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","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; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Public health; Medicine; Environmental health; Virology; Computer science; Disease; Immunology; Infectious disease (medical specialty); Geography; Engineering; Immunization; 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":[0.001196462,0.000543147,0.0007011189,0.0005248935,0.000303069,0.000707669,0.0008942071,0.001518071,0.003035569],"category_scores_gemma":[0.004346396,0.0003736111,0.0008115817,0.0003012099,0.0005856932,0.0007336913,0.0007144167,0.0008529213,0.000170915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001372969,"about_ca_system_score_gemma":0.0007896582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01163886,"about_ca_topic_score_gemma":0.006847373,"domain_scores_codex":[0.999577,0.000248652,0.00001065849,0.00004784774,0.00002252627,0.00009341601],"domain_scores_gemma":[0.99703,0.002320288,0.0002557647,0.00009642867,0.0001161722,0.0001813777],"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":[0.0001335809,0.00005833059,0.00227883,0.00002182126,0.00001888447,0.00005302467,0.00002433045,0.9931231,0.0003597465,0.002733191,0.0002568689,0.0009383206],"study_design_scores_gemma":[0.00008911784,0.0001065196,0.000828705,0.000008808668,0.0000177883,0.00001623309,0.00005629894,0.9955858,0.0003597958,0.002637877,0.0002861661,0.000006827343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642219,0.0002474632,0.02879207,0.0008207484,0.00004166312,0.00007680703,0.0007683806,0.000059678,0.004971316],"genre_scores_gemma":[0.9913589,0.0000989145,0.006423827,0.00005233004,0.000009814403,0.00006317344,0.0002065034,0.00001177331,0.001774836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01163886,"threshold_uncertainty_score":0.02314222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2022625983342157,"score_gpt":0.4341096944913328,"score_spread":0.2318470961571171,"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."}}