{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002177384,0.0002921733,0.001168841,0.00007869673,0.0008791638,0.00004426451,0.0006478754,0.00005752813,0.0002580779],"category_scores_gemma":[0.007468846,0.0002382931,0.000131713,0.0001970707,0.00003442867,0.00006833174,0.0007527082,0.0005881113,0.00001118545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000222998,"about_ca_system_score_gemma":0.00006657821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008042374,"about_ca_topic_score_gemma":0.0002796472,"domain_scores_codex":[0.9971989,0.0007851013,0.0006668913,0.0003362474,0.0005562908,0.0004565665],"domain_scores_gemma":[0.9920219,0.006713198,0.0001819103,0.0007818523,0.0001604698,0.0001406891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00824041,0.1727553,0.02131837,0.007100709,0.01336761,0.00005137132,0.09646687,0.05985737,0.02131664,0.5508602,0.04809088,0.0005742707],"study_design_scores_gemma":[0.003263555,0.002528737,0.00146383,0.00003675514,0.0007313871,0.000001238626,0.009442327,0.1135876,0.0001010864,0.8684307,0.00003366762,0.0003791201],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8893071,0.00003223939,0.1023032,0.003167532,0.00001982621,0.004365031,0.0003195721,0.0002865765,0.000198926],"genre_scores_gemma":[0.9655381,0.000001454155,0.03006591,0.001518056,0.00004817259,0.00250441,0.000009301429,0.00004166273,0.000272888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3175705,"threshold_uncertainty_score":0.9717311,"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."}}