{"id":"W4416833813","doi":"10.2196/80911","title":"Establish a PrEP (Pre-Exposure Prophylaxis) Epidemiology, Modeling, and Surveillance (PREMISE) System to Analyze Trends in PrEP Uptake and the Impact of PrEP Programs and Policies: Protocol for a Natural Experiment and Modeling Study in the United States","year":2025,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Protocol (science); Data collection; Matching (statistics); Pre-exposure prophylaxis; Program evaluation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.06335031,0.002802964,0.00241508,0.001859061,0.004457892,0.002008438,0.003691413,0.003734806,0.03003046],"category_scores_gemma":[0.05426939,0.002617371,0.003382775,0.002107827,0.002259084,0.002340461,0.003802489,0.005474197,0.00855323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005467519,"about_ca_system_score_gemma":0.03160477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008186539,"about_ca_topic_score_gemma":0.01080812,"domain_scores_codex":[0.9690581,0.02188857,0.002759387,0.002301231,0.002395603,0.001597038],"domain_scores_gemma":[0.9495195,0.009494881,0.006873679,0.01588888,0.01373636,0.004486735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.164681,0.08752885,0.07994676,0.01117064,0.003421675,0.001123044,0.005454532,0.03163258,0.01565441,0.02701594,0.3130779,0.2592927],"study_design_scores_gemma":[0.1865143,0.0964939,0.1207518,0.006539218,0.002450632,0.0004456407,0.002543657,0.04827335,0.02217224,0.01742353,0.4952187,0.00117306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.008938923,0.00005990276,0.0216123,0.0005015687,0.0002162646,0.9551525,0.01115842,0.0004791821,0.001881058],"genre_scores_gemma":[0.003533524,0.00002850132,0.01219607,0.000167257,0.00002002738,0.9825783,0.001183908,0.00001714172,0.0002753331],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.06335031,"threshold_uncertainty_score":0.3350325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3626300923104187,"score_gpt":0.6189278606352093,"score_spread":0.2562977683247906,"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."}}