{"id":"W2259332251","doi":"10.2196/publichealth.5317","title":"Improving HIV Surveillance Data for Public Health Action in Washington, DC: A Novel Multiorganizational Data-Sharing Method","year":2016,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Child Health and Human Development; National Institute of Allergy and Infectious Diseases; District of Columbia Department of Health; National Institute of General Medical Sciences; Fogarty International Center; National Institute of Mental Health; National Heart, Lung, and Blood Institute; National Institute on Drug Abuse; Centers for Disease Control and Prevention; National Cancer Institute; National Institutes of Health; Georgetown University; Eunice Kennedy Shriver National Institute of Child Health and Human Development; George Washington University; National Institute of Diabetes and Digestive and Kidney Diseases; Organization for Autism Research","keywords":"Human immunodeficiency virus (HIV); Public health; Public health surveillance; Internet privacy; Data sharing; Environmental health; Medicine; Health care; Business; Computer science; Political science; Family medicine; Nursing; Alternative medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009309388,0.0004427453,0.0005425453,0.002013081,0.001357204,0.00138748,0.001471212,0.0005226224,0.001902433],"category_scores_gemma":[0.02203401,0.0004701125,0.0009068297,0.002094767,0.0004494645,0.001698151,0.002751859,0.000655902,0.0004233096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001354284,"about_ca_system_score_gemma":0.003998669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009968951,"about_ca_topic_score_gemma":0.009461949,"domain_scores_codex":[0.9915881,0.003811681,0.0007924192,0.002172881,0.001332871,0.0003019957],"domain_scores_gemma":[0.9888607,0.00428908,0.001329392,0.003396052,0.001805246,0.0003196089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005927467,0.0006536221,0.124652,0.0001301551,0.0003654475,0.000211829,0.001912047,0.08258353,0.009697772,0.01067963,0.003996175,0.7645251],"study_design_scores_gemma":[0.000162707,0.000403107,0.03105046,0.00003766769,0.0001263051,0.0003300469,0.001153859,0.9338933,0.01143959,0.01069347,0.01062903,0.00008037659],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1337734,0.000054154,0.8613539,0.0003818035,0.00002950722,0.0008747876,0.000553855,0.001358641,0.001619866],"genre_scores_gemma":[0.3711142,0.00002794501,0.6270791,0.00005782765,0.00001718336,0.0004519128,0.0006312313,0.0000532264,0.0005674546],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009968951,"threshold_uncertainty_score":0.04923332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1685753090389551,"score_gpt":0.4038408135738867,"score_spread":0.2352655045349317,"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."}}