{"id":"W4224142689","doi":"10.1002/cjs.11698","title":"Characterizing the COVID‐19 dynamics with a new epidemic model: Susceptible‐exposed‐asymptomatic‐symptomatic‐active‐removed","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Coronavirus disease 2019 (COVID-19); Asymptomatic; Basic reproduction number; Transmission (telecommunications); Epidemic model; Coronavirus; Iterated function; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Kalman filter; Public health; Pandemic; Medicine; Virology; Disease; Computer science; Mathematics; Statistics; Infectious disease (medical specialty); Internal medicine; Environmental health; Telecommunications; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.00147697,0.0007737004,0.0008462089,0.0008658919,0.0007217884,0.001199599,0.001803537,0.001675583,0.002540297],"category_scores_gemma":[0.003662182,0.000328557,0.0009379672,0.0006043268,0.0009758585,0.0008631027,0.0009501712,0.001301037,0.0002683022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003653979,"about_ca_system_score_gemma":0.002556981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3465483,"about_ca_topic_score_gemma":0.2105568,"domain_scores_codex":[0.9995961,0.0001467737,0.00001552737,0.00008066091,0.00005015921,0.00011092],"domain_scores_gemma":[0.9983118,0.0008564367,0.0003084247,0.00006407029,0.0003476742,0.0001116482],"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":[0.00004459206,0.00006729483,0.006297497,0.0000235578,0.00004025892,0.0001706606,0.00008834189,0.9788001,0.0005781786,0.01107848,0.0009018563,0.00190925],"study_design_scores_gemma":[0.000008938907,0.00001226533,0.0008300469,0.000003142895,0.000008894078,0.00001391961,0.00002654785,0.9979557,0.00003166317,0.0008603743,0.0002407166,0.000007819574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7242694,0.000822177,0.2489312,0.002893746,0.0002079955,0.0002869747,0.003396022,0.0002935202,0.01889895],"genre_scores_gemma":[0.9779444,0.0003160054,0.01072155,0.0001394957,0.00006394875,0.0001258928,0.000719266,0.00002032305,0.009949033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3465483,"threshold_uncertainty_score":0.6890624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1430341713833161,"score_gpt":0.3406833875073798,"score_spread":0.1976492161240637,"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."}}