{"id":"W3088244893","doi":"10.1097/olq.0000000000001249","title":"Exploring How Epidemic Context Influences Syphilis Screening Impact: A Mathematical Modeling Study","year":2020,"lang":"en","type":"article","venue":"Sexually Transmitted Diseases","topic":"Syphilis Diagnosis and Treatment","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Centers for Disease Control and Prevention","keywords":"Medicine; Syphilis; Context (archaeology); Sexually transmitted disease; Treponematosis; Environmental health; Virology; Human immunodeficiency virus (HIV)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001356711,0.0004316478,0.000834602,0.0001247785,0.0001547323,0.0001073454,0.0001932739,0.00006049612,0.0003566235],"category_scores_gemma":[0.0004561518,0.0003212565,0.0003435941,0.0003913233,0.0000719185,0.0004716487,0.00003088607,0.0002280432,0.00006734275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005800026,"about_ca_system_score_gemma":0.0001335586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009019927,"about_ca_topic_score_gemma":0.000007152969,"domain_scores_codex":[0.9975885,0.0001194161,0.0005011983,0.0006581023,0.0006386269,0.0004941448],"domain_scores_gemma":[0.9980971,0.0003790151,0.00008121054,0.0003880896,0.0001328748,0.0009217515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002266425,0.007493991,0.8652622,0.0007947656,0.003493446,0.001201545,0.01892368,0.007745995,0.0007563003,0.0001825826,0.00030117,0.09157789],"study_design_scores_gemma":[0.0200502,0.01164334,0.5953412,0.001655522,0.007119596,0.00007100774,0.06215795,0.2992316,0.0003206872,0.0005471158,0.0001861218,0.001675628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864874,0.00251376,0.004142846,0.004956343,0.00002906102,0.001344274,0.00009267562,0.0003723565,0.00006123244],"genre_scores_gemma":[0.9975388,0.0001039892,0.0003464151,0.001204046,0.0002375262,0.0004403126,0.00005375817,0.00006517246,0.00000995452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2914857,"threshold_uncertainty_score":0.9999239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2001431385082668,"score_gpt":0.3391173699258901,"score_spread":0.1389742314176233,"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."}}