{"id":"W4319335397","doi":"10.1101/2023.02.03.23285437","title":"Impact of Immune Evasion, Waning and Boosting on Dynamics of Population Mixing Between a Vaccinated Majority and Unvaccinated Minority","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Public Health Ontario; University of Toronto","funders":"","keywords":"Vaccination; Herd immunity; Population; Immunity; Demography; Context (archaeology); Medicine; Pandemic; Immunology; Epidemiology; Virology; Immune system; Biology; Coronavirus disease 2019 (COVID-19); Environmental health; Infectious disease (medical specialty); Disease; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009695256,0.000476552,0.000677878,0.000273313,0.0003008027,0.001052392,0.0008248063,0.0006103849,0.002313558],"category_scores_gemma":[0.003706999,0.0002546507,0.0009176833,0.0001197136,0.0006275731,0.0008778643,0.0008585197,0.0008656683,0.000193889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009578313,"about_ca_system_score_gemma":0.0007161891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005879196,"about_ca_topic_score_gemma":0.002174179,"domain_scores_codex":[0.9995393,0.0001795788,0.00001798555,0.0001113674,0.00003642267,0.0001153706],"domain_scores_gemma":[0.9987709,0.000550779,0.0003101641,0.0001103699,0.00008703643,0.0001707279],"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":[0.00141668,0.0004198337,0.08937959,0.0002143397,0.0004692043,0.001146012,0.0004106155,0.8073434,0.0618488,0.02054013,0.0008821919,0.01592915],"study_design_scores_gemma":[0.00005720913,0.0007048467,0.01924044,0.00002563937,0.0001805453,0.0002100619,0.0001819804,0.9697464,0.004344945,0.004386556,0.0008787147,0.00004264566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794434,0.000246732,0.0177827,0.0002597387,0.00002955273,0.00002846249,0.0001366442,0.00004208602,0.002030647],"genre_scores_gemma":[0.9981001,0.00005904389,0.0008120901,0.00004078388,0.000006050604,0.00001416625,0.00003968407,0.000005268319,0.0009228358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005879196,"threshold_uncertainty_score":0.01168996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06010285627126312,"score_gpt":0.3748087632774094,"score_spread":0.3147059070061463,"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."}}