{"id":"W4409762115","doi":"10.1136/sextrans-2024-056286","title":"Developing and validating a Bayesian clinical risk prediction model for three sexually transmitted infections in key populations from two Canadian provinces","year":2025,"lang":"en","type":"article","venue":"Sexually Transmitted Infections","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"British American Tobacco (Canada); Saint John Regional Hospital; McGill University; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Medicine; Syphilis; Men who have sex with men; Receiver operating characteristic; Incidence (geometry); Demography; Coinfection; Sexually transmitted disease; Hepatitis C; Human immunodeficiency virus (HIV); Risk assessment; Internal medicine; Virology","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":[0.00448051,0.0009229673,0.0006154446,0.001033166,0.00133363,0.001176346,0.001691581,0.0005784346,0.001075489],"category_scores_gemma":[0.008550307,0.0004951332,0.0008137833,0.0008003882,0.0005303179,0.0002379972,0.000804089,0.0008150028,0.0001567666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01458986,"about_ca_system_score_gemma":0.02218042,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9603505,"about_ca_topic_score_gemma":0.9246405,"domain_scores_codex":[0.99905,0.0003269357,0.00006465655,0.0002187251,0.0001509208,0.0001888105],"domain_scores_gemma":[0.9967309,0.001463802,0.000222046,0.0001065952,0.001296186,0.0001803858],"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":[0.0006188836,0.0002671263,0.3716715,0.0001150887,0.0004024772,0.0002440971,0.0004087451,0.570802,0.001033936,0.001928136,0.003823774,0.04868433],"study_design_scores_gemma":[0.00006223553,0.00004885422,0.03810628,0.00002793245,0.00006501083,0.00002483546,0.0001351704,0.9599535,0.0002835892,0.0004801065,0.0007880052,0.00002446013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522689,0.0002882816,0.04004226,0.0009265537,0.00002511885,0.0003703226,0.003563024,0.0003134966,0.00220215],"genre_scores_gemma":[0.9657487,0.0001268467,0.0295411,0.0001179117,0.000009175428,0.0001477766,0.003294679,0.00001864353,0.0009950799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03964949,"threshold_uncertainty_score":0.1058574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04720716216516851,"score_gpt":0.3518402281917988,"score_spread":0.3046330660266303,"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."}}