{"id":"W4410933149","doi":"10.1142/s2737599425500082","title":"Some new aspects on COVID-19 transmission dynamics applicable to other epidemics: Insights from mathematical modeling and numerical simulations","year":2025,"lang":"en","type":"article","venue":"Innovation and Emerging Technologies","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Transmission (telecommunications); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Statistical physics; Dynamics (music); 2019-20 coronavirus outbreak; Computer science; Virology; Physics; Biology; Medicine; Outbreak; Infectious disease (medical specialty); Telecommunications","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":[0.001583107,0.0006242558,0.0009268554,0.001090227,0.0006185964,0.001712076,0.0008681795,0.001433615,0.00237081],"category_scores_gemma":[0.007899567,0.0003086604,0.001407776,0.0007672138,0.00162025,0.002992976,0.001209282,0.001689212,0.000185421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008406417,"about_ca_system_score_gemma":0.000858101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004292938,"about_ca_topic_score_gemma":0.002108223,"domain_scores_codex":[0.9994849,0.0002741971,0.0000320566,0.00005713382,0.00009766846,0.00005403851],"domain_scores_gemma":[0.9977247,0.001658882,0.0002964785,0.0001283532,0.0001284022,0.00006309907],"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":[0.00002392682,0.00007943945,0.003536722,0.0002154232,0.00004286847,0.0004937459,0.0005099584,0.3954568,0.001595272,0.584695,0.001333278,0.01201754],"study_design_scores_gemma":[0.000008627316,0.00003377589,0.0007289907,0.00008978663,0.00001598651,0.0001630487,0.0001831993,0.8179347,0.0002565199,0.1755843,0.004978691,0.00002248361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1115706,0.01199085,0.8207667,0.009732039,0.0005739311,0.0001224171,0.000246727,0.0001267214,0.04486999],"genre_scores_gemma":[0.8798135,0.01477855,0.09622978,0.0009152581,0.0007054328,0.0002184621,0.000171078,0.0001073911,0.007060585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004292938,"threshold_uncertainty_score":0.008535922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.147040688483139,"score_gpt":0.4128039779459707,"score_spread":0.2657632894628318,"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."}}