{"id":"W4206733432","doi":"10.1016/j.matpr.2021.11.480","title":"A mathematical model of COVID-19 transmission","year":2021,"lang":"en","type":"article","venue":"Materials Today Proceedings","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"King's University College; Western University","funders":"","keywords":"Transmission (telecommunications); Epidemic model; Coronavirus disease 2019 (COVID-19); Disease transmission; Relevance (law); Distancing; Computer science; Econometrics; Nonlinear system; Mathematical model; Disease; Applied mathematics; Statistics; Mathematics; Infectious disease (medical specialty); Medicine; Virology; Telecommunications; Environmental health; Physics; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001043005,0.0007252559,0.0007330278,0.00143607,0.0007692632,0.001869997,0.002116174,0.00231066,0.00655191],"category_scores_gemma":[0.003874173,0.0003153759,0.0009592117,0.001420117,0.001251121,0.002553355,0.001409276,0.001902464,0.001635419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001400911,"about_ca_system_score_gemma":0.001353799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005039325,"about_ca_topic_score_gemma":0.001722762,"domain_scores_codex":[0.9993092,0.0002200962,0.0000516649,0.0001340721,0.0001898514,0.00009510625],"domain_scores_gemma":[0.9987791,0.000613998,0.0002929793,0.00007170202,0.0001817244,0.00006050781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002426734,0.00005597351,0.001252717,0.0001259644,0.00003011112,0.0007511679,0.000238459,0.1771547,0.00150694,0.8036776,0.005847892,0.009334249],"study_design_scores_gemma":[0.00002813685,0.0001083267,0.0006420845,0.00006521146,0.00003402313,0.0009746149,0.000130662,0.6952763,0.0003944995,0.274251,0.02805106,0.00004401375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03133295,0.002348583,0.8974092,0.007310608,0.0004972687,0.0001815965,0.001684369,0.0002244313,0.059011],"genre_scores_gemma":[0.7505395,0.008671475,0.135055,0.00151119,0.0009493925,0.0008272884,0.001582114,0.0001271071,0.100737],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00655191,"threshold_uncertainty_score":0.02191836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2527355911922416,"score_gpt":0.4120761596434152,"score_spread":0.1593405684511736,"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."}}