{"id":"W4307410401","doi":"10.1371/journal.pone.0258648","title":"Community structured model for vaccine strategies to control COVID19 spread: A mathematical study","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Université de Montréal; Toronto Public Health; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; York University","keywords":"Transmission (telecommunications); Vaccination; Basic reproduction number; Pandemic; Medicine; Psychological intervention; Herd immunity; Hygiene; Environmental health; Immunity; Contact tracing; Vaccine efficacy; Coronavirus disease 2019 (COVID-19); Virology; Demography; Immunology; Computer science; Population; Telecommunications; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00246787,0.001282374,0.001758025,0.001254969,0.0007921861,0.001613716,0.002096984,0.00272534,0.00977693],"category_scores_gemma":[0.00759761,0.0006495874,0.001817101,0.0009480345,0.001480486,0.001892322,0.002021449,0.002343402,0.0008293742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002120215,"about_ca_system_score_gemma":0.002145246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02019002,"about_ca_topic_score_gemma":0.009615608,"domain_scores_codex":[0.9992839,0.000324629,0.00001944865,0.0001037269,0.00007926756,0.0001891923],"domain_scores_gemma":[0.9937772,0.004405743,0.0006335379,0.0001150094,0.0007099106,0.0003586296],"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":[0.00006206092,0.00007240208,0.001484298,0.0001028172,0.00006976924,0.0002240831,0.0001184131,0.9080036,0.0004241879,0.08419885,0.002790379,0.002449102],"study_design_scores_gemma":[0.00001458869,0.0000193144,0.0001240424,0.00001130914,0.00001232376,0.00001902042,0.00002972238,0.9923832,0.00002111656,0.006874528,0.0004843721,0.000006557834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1593309,0.003803839,0.7809393,0.006531839,0.0004618216,0.0002595872,0.001809488,0.0003883128,0.04647486],"genre_scores_gemma":[0.889761,0.002542634,0.05191702,0.0009554143,0.0002821001,0.0007252794,0.001023841,0.000165949,0.0526267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02019002,"threshold_uncertainty_score":0.04014498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4230615669413693,"score_gpt":0.4199309621754047,"score_spread":0.003130604765964606,"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."}}