{"id":"W3115450321","doi":"10.21203/rs.3.rs-136268/v1","title":"Herd immunity of Covid 19 in dynamic environments with vaccination: a model based study","year":2020,"lang":"en","type":"preprint","venue":"Research Square (Research Square)","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herd immunity; Coronavirus disease 2019 (COVID-19); Vaccination; Herd; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Immunity; Virology; Medicine; Immunology; Immune system; Veterinary medicine; Outbreak; Internal medicine; Infectious disease (medical specialty); Disease","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","open_science","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03775213,0.0009693152,0.002435123,0.002282992,0.0009551267,0.0001876542,0.003548439,0.0007994073,0.0007215447],"category_scores_gemma":[0.05989869,0.0007927136,0.0004243367,0.003181629,0.001004511,0.0001942652,0.009474684,0.01000186,0.00009069179],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007118075,"about_ca_system_score_gemma":0.004381572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005080238,"about_ca_topic_score_gemma":0.005193846,"domain_scores_codex":[0.966012,0.0182325,0.002045722,0.002633155,0.00842432,0.002652324],"domain_scores_gemma":[0.9644552,0.02909048,0.0005282981,0.003401403,0.00135176,0.00117288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0175341,0.05697628,0.4458622,0.07536886,0.003245667,0.003806917,0.05093521,0.2981713,0.001372555,0.01238836,0.02249873,0.01183987],"study_design_scores_gemma":[0.009445528,0.008974422,0.126832,0.002463399,0.0001240822,0.000003563539,0.01982038,0.4580855,0.0001603674,0.3706008,0.001567953,0.001921986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8836258,0.001980404,0.05585814,0.02710534,0.00009532291,0.02823724,0.001023519,0.0004340275,0.00164018],"genre_scores_gemma":[0.9902156,0.0006207426,0.004215208,0.0001138336,0.00006958965,0.003970965,0.00017804,0.0001736295,0.0004423626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3582124,"threshold_uncertainty_score":0.9994524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4996385483215468,"score_gpt":0.5584042853658336,"score_spread":0.05876573704428684,"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."}}