{"id":"W2921958022","doi":"10.1016/j.idm.2019.09.002","title":"What could re-infection tell us about R0? A modeling case-study of syphilis transmission","year":2019,"lang":"en","type":"preprint","venue":"Infectious Disease Modelling","topic":"Syphilis Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"University of Toronto; Canadian Institutes of Health Research; Ontario HIV Treatment Network","keywords":"Syphilis; Basic reproduction number; Transmission (telecommunications); Monotonic function; Infectious disease (medical specialty); Disease; Immunology; Epidemic model; Medicine; Virology; Demography; Computer science; Mathematics; Environmental health; Internal medicine; Telecommunications; Mathematical analysis; Human immunodeficiency virus (HIV); Population","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002122636,0.0006056807,0.0009071261,0.0006210523,0.0007090857,0.001233964,0.001446217,0.003192965,0.003241881],"category_scores_gemma":[0.009059934,0.0003730143,0.001251846,0.0007144146,0.0008200607,0.00093789,0.0007837957,0.001389431,0.0003272809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332425,"about_ca_system_score_gemma":0.0005566531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01295377,"about_ca_topic_score_gemma":0.008675179,"domain_scores_codex":[0.9991285,0.0005654237,0.00003170988,0.0001275737,0.00004202652,0.0001047632],"domain_scores_gemma":[0.9953867,0.003457949,0.000524982,0.0002631074,0.0001463621,0.0002210951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002263359,0.002616156,0.1516305,0.0007966112,0.0008222661,0.02351825,0.004163516,0.6200239,0.01029013,0.1403593,0.008822145,0.03469387],"study_design_scores_gemma":[0.0005733983,0.00152578,0.02174728,0.0001374335,0.0004385717,0.008586751,0.00183295,0.9014609,0.00264186,0.05486553,0.006016454,0.0001729809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655915,0.001271382,0.02404385,0.003055075,0.00004982944,0.0001127414,0.0005520066,0.00004886234,0.005274761],"genre_scores_gemma":[0.9921187,0.0003821138,0.005368498,0.0001156731,0.00002765335,0.00004693118,0.0001112878,0.00001091224,0.0018182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01295377,"threshold_uncertainty_score":0.02575672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06096692132987198,"score_gpt":0.3216768698014172,"score_spread":0.2607099484715452,"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."}}