{"id":"W2326120174","doi":"10.3934/mbe.2008.5.429","title":"The effect of patterns of infectiousness on epidemic size","year":2008,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Population size; Infectious disease (medical specialty); Epidemic model; Population; Mathematics; Demography; Statistics; Disease; Medicine","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":[0.001831427,0.0003387483,0.0003968142,0.0008585913,0.0003541717,0.001698987,0.0006144181,0.0009640229,0.002050401],"category_scores_gemma":[0.03196188,0.0004423829,0.000348158,0.0005050277,0.001295039,0.002051571,0.001088769,0.0008371175,0.0003259025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005523541,"about_ca_system_score_gemma":0.0003498945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006464026,"about_ca_topic_score_gemma":0.0005248127,"domain_scores_codex":[0.9988546,0.0004678276,0.00009931305,0.0002797499,0.0001459659,0.0001525234],"domain_scores_gemma":[0.9703628,0.02110587,0.003463612,0.002741092,0.001185131,0.001141486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00315536,0.0009793498,0.4229374,0.0005433573,0.0008771897,0.002233225,0.00266041,0.1119594,0.2001966,0.1118542,0.002826264,0.1397773],"study_design_scores_gemma":[0.0002404593,0.0009794172,0.6444775,0.0001243407,0.0004372969,0.002532502,0.001203506,0.1754926,0.02717913,0.1443349,0.002786813,0.0002115729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838022,0.0003856008,0.008098441,0.0004762803,0.0000234187,0.00001664217,0.0001273144,0.00006043908,0.007009639],"genre_scores_gemma":[0.9987231,0.0001051382,0.0006749643,0.00003029741,0.00001360874,0.000008372091,0.00004373062,0.0000189819,0.0003818217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002050401,"threshold_uncertainty_score":0.009685636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0779289457941946,"score_gpt":0.3531576764433137,"score_spread":0.2752287306491191,"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."}}