{"id":"W4391734892","doi":"10.1101/2024.02.07.579403","title":"Waiting for the Perfect Vaccine","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal","keywords":"Vaccination; Vaccine efficacy; Outbreak; Medicine; Population; Immunology; Environmental health; Virology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001477916,0.0004327641,0.0007927177,0.0002481667,0.0006807091,0.001709625,0.0009168494,0.002579833,0.01102195],"category_scores_gemma":[0.004061862,0.000477929,0.0008275581,0.0002186374,0.001145314,0.002130874,0.0009724286,0.003524947,0.002394233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582547,"about_ca_system_score_gemma":0.0022141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002780724,"about_ca_topic_score_gemma":0.001829103,"domain_scores_codex":[0.9992971,0.0002588716,0.00003228548,0.0001618709,0.000144027,0.0001058026],"domain_scores_gemma":[0.9989437,0.0004969237,0.0001528702,0.0001345929,0.0001587251,0.0001130541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002892759,0.0002214871,0.005236059,0.001022086,0.0001939813,0.0006611627,0.0003332859,0.09020226,0.01610691,0.706448,0.08106592,0.09821963],"study_design_scores_gemma":[0.0002223963,0.000870719,0.00224356,0.0009468034,0.0002125609,0.0009984622,0.0004580534,0.1785072,0.01208902,0.5016724,0.3015898,0.0001889397],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1339571,0.03493627,0.5591075,0.1597441,0.01131218,0.0003994055,0.002143007,0.001228041,0.09717247],"genre_scores_gemma":[0.7979019,0.01652673,0.1172844,0.02244418,0.001785545,0.0003785976,0.00118254,0.0002183345,0.04227778],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01102195,"threshold_uncertainty_score":0.03687209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1195547122845444,"score_gpt":0.3490066171639306,"score_spread":0.2294519048793863,"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."}}