{"id":"W4396798963","doi":"10.2139/ssrn.4809968","title":"A SEIR Model With Infection Force Dependent on Infected and Exposed Carriers","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Medicine; Virology; Biology","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":[0.002591559,0.001807112,0.004009981,0.002271767,0.0008200594,0.00273553,0.004209927,0.006682183,0.01584095],"category_scores_gemma":[0.005430193,0.001043056,0.002161769,0.001407198,0.002143934,0.00390821,0.002181895,0.002769211,0.004360028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008797495,"about_ca_system_score_gemma":0.001127674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006470337,"about_ca_topic_score_gemma":0.002895032,"domain_scores_codex":[0.9987978,0.0003877648,0.0000631022,0.0002702245,0.0001549688,0.0003260474],"domain_scores_gemma":[0.9949625,0.002253596,0.00127564,0.0003603518,0.0005393462,0.0006085955],"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":[0.0009512781,0.0007184076,0.005420286,0.0006030227,0.0003651896,0.003255213,0.000505324,0.4464701,0.008965792,0.5075272,0.01083437,0.01438383],"study_design_scores_gemma":[0.0002216056,0.0002733903,0.001070656,0.00004832252,0.0001405928,0.0007378124,0.0001637404,0.946389,0.0003731325,0.04876492,0.001739088,0.00007775729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4459327,0.003776496,0.4277683,0.01752961,0.001364291,0.0003124509,0.005565064,0.001422275,0.09632886],"genre_scores_gemma":[0.8220399,0.001911302,0.01281871,0.001117878,0.000728431,0.0002323612,0.001216359,0.0001946073,0.1597404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01584095,"threshold_uncertainty_score":0.05299324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0741256941494089,"score_gpt":0.3520864585645223,"score_spread":0.2779607644151134,"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."}}