{"id":"W2050942371","doi":"10.1016/j.jtbi.2011.07.008","title":"A mathematical model to distinguish sociological and biological susceptibility factors in disease transmission in the context of H1N1/09 influenza","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Centers for Disease Control and Prevention; World Health Organization; National Science Foundation","keywords":"Disease; Demography; Context (archaeology); Pandemic; Vulnerability (computing); Transmission (telecommunications); Population; Biology; Medicine; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Sociology; Computer science; Pathology","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":[0.001705626,0.0007091509,0.001112531,0.0009958512,0.000975225,0.001804417,0.002037706,0.002569263,0.006118126],"category_scores_gemma":[0.007112621,0.0005296483,0.0009537802,0.0007325086,0.001331779,0.002641917,0.001664807,0.002034532,0.0005533788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001929394,"about_ca_system_score_gemma":0.002215658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01295674,"about_ca_topic_score_gemma":0.009340637,"domain_scores_codex":[0.9994103,0.0003350471,0.00001965314,0.00006641843,0.00005134361,0.0001173057],"domain_scores_gemma":[0.9965357,0.002524325,0.000348258,0.00009530561,0.0002207744,0.0002756508],"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":[0.00005183547,0.0001405382,0.002748346,0.00005609895,0.00008467604,0.0002764818,0.0002484355,0.4287334,0.0005874351,0.5605153,0.003517763,0.003039743],"study_design_scores_gemma":[0.00004662449,0.00003554003,0.0005022101,0.00001284994,0.00002780324,0.00007387876,0.00008635391,0.9165332,0.00003120992,0.08169053,0.0009364199,0.00002340725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2841698,0.00204574,0.6165318,0.02538736,0.0007722973,0.0001717904,0.00146692,0.0002294141,0.06922487],"genre_scores_gemma":[0.9473141,0.0008301159,0.02555498,0.000849398,0.000423397,0.0003085268,0.0003057299,0.00005414135,0.02435963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01295674,"threshold_uncertainty_score":0.02576262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1850435905014397,"score_gpt":0.41118237921239,"score_spread":0.2261387887109504,"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."}}