{"id":"W1964216735","doi":"10.1186/1471-2458-13-606","title":"Screen more or screen more often? Using mathematical models to inform syphilis control strategies","year":2013,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Syphilis Diagnosis and Treatment","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"Syphilis; Medicine; Population; Incidence (geometry); Biostatistics; Epidemiology; Latent Syphilis; Demography; Transmission (telecommunications); Public health; Environmental health; Immunology; Internal medicine; Telecommunications; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003003933,0.0009778538,0.0007952296,0.001114913,0.0003864452,0.001523775,0.001150406,0.001039786,0.00317695],"category_scores_gemma":[0.01739402,0.0005106241,0.0007688144,0.0005823986,0.0008439719,0.001425457,0.0006875586,0.0009647011,0.0002491121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0042378,"about_ca_system_score_gemma":0.004497953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03972089,"about_ca_topic_score_gemma":0.03608026,"domain_scores_codex":[0.9989378,0.0007862739,0.0000216211,0.00009158116,0.00009003227,0.00007269838],"domain_scores_gemma":[0.9910142,0.007475439,0.000881577,0.0001402213,0.0003477541,0.0001408552],"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":[0.00006417117,0.00006933021,0.006856266,0.0001581624,0.0001401586,0.00009983303,0.0001428171,0.9336674,0.0002521123,0.04648118,0.001699604,0.01036895],"study_design_scores_gemma":[0.00003799727,0.00004043978,0.0007706259,0.00005155587,0.00005970688,0.00002189099,0.00007117371,0.9646626,0.00009970092,0.0329202,0.001250279,0.00001383209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3265563,0.005953475,0.5978858,0.02502059,0.000316957,0.0004376126,0.002277613,0.0005409647,0.04101061],"genre_scores_gemma":[0.9353321,0.002697059,0.05719899,0.0006851514,0.0001085343,0.0002916804,0.0003427819,0.00004141195,0.003302428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03972089,"threshold_uncertainty_score":0.07897937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1640732146064067,"score_gpt":0.382105511443903,"score_spread":0.2180322968374964,"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."}}