{"id":"W3123414060","doi":"10.1101/2021.01.25.21250505","title":"Community structured model for vaccine strategies to control COVID19 spread: a mathematical study","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Université de Montréal; Toronto Public Health; York University","funders":"","keywords":"Immunity; Vaccination; Transmission (telecommunications); Herd immunity; Vaccine efficacy; Pandemic; Basic reproduction number; Medicine; Psychological intervention; Hygiene; Immunology; Coronavirus disease 2019 (COVID-19); Demography; Environmental health; Virology; Disease; Population; Infectious disease (medical specialty); Immune system; Computer science; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003150662,0.001506555,0.002229757,0.001591925,0.0009428617,0.001894945,0.002454323,0.003554626,0.01138516],"category_scores_gemma":[0.01085851,0.0008329759,0.002052897,0.001029808,0.001856037,0.00208823,0.002125968,0.002808893,0.0007885274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002623801,"about_ca_system_score_gemma":0.002405779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02922459,"about_ca_topic_score_gemma":0.01266929,"domain_scores_codex":[0.9990791,0.0004160513,0.00002321297,0.0001343213,0.00008963341,0.0002575591],"domain_scores_gemma":[0.9890626,0.008133397,0.001063202,0.0001595664,0.001061567,0.0005196267],"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":[0.00006105535,0.00007791282,0.001468254,0.00007902414,0.00005843915,0.0002131742,0.00009125407,0.9400501,0.0002912573,0.05413638,0.001860726,0.001612318],"study_design_scores_gemma":[0.00001429863,0.00001986128,0.0001092871,0.00001060003,0.00001013521,0.00001291182,0.00003161863,0.9951871,0.00001585722,0.00432316,0.0002588924,0.000006291857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2457001,0.003490561,0.6981492,0.006738644,0.0004651472,0.0003505611,0.001980475,0.0004213692,0.04270401],"genre_scores_gemma":[0.9273676,0.001500673,0.03432747,0.0006989966,0.000198758,0.0005916146,0.0007684433,0.0001193733,0.03442711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02922459,"threshold_uncertainty_score":0.05810893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.308437902191314,"score_gpt":0.4581336893257536,"score_spread":0.1496957871344396,"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."}}