{"id":"W2921592544","doi":"10.2196/13086","title":"New York City HIV Care Continuum Dashboards: Using Surveillance Data to Improve HIV Care Among People Living With HIV in New York City","year":2019,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention","keywords":"Human immunodeficiency virus (HIV); Medicine; Public health; Medical diagnosis; Health care; HIV diagnosis; Family medicine; Environmental health; Gerontology; Medical emergency; Viral load; Nursing; Antiretroviral therapy; Political science; Pathology","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":[0.007493556,0.0004803023,0.0003100904,0.001777167,0.001009444,0.002455196,0.001081697,0.0004415056,0.002003732],"category_scores_gemma":[0.01506611,0.0002383603,0.0003924705,0.003204027,0.0004707925,0.001695291,0.003642771,0.001087978,0.0002036455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003267358,"about_ca_system_score_gemma":0.0114203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.210787,"about_ca_topic_score_gemma":0.3445371,"domain_scores_codex":[0.9966761,0.001606432,0.0003025543,0.0002940219,0.0007959895,0.0003248653],"domain_scores_gemma":[0.9909424,0.001961797,0.002011705,0.0006909489,0.002535328,0.001857812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001431134,0.0004483629,0.7696328,0.0004666311,0.0002002858,0.00004945616,0.002351807,0.0007925031,0.0003768581,0.0006175147,0.04369953,0.1812211],"study_design_scores_gemma":[0.000115903,0.0004699835,0.9639976,0.001009973,0.0001210807,0.00004858335,0.006490253,0.003770445,0.0005332338,0.0004968434,0.02289062,0.00005539542],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232056,0.004314292,0.003912786,0.02181501,0.0004257757,0.001688967,0.02335875,0.0005626436,0.02071616],"genre_scores_gemma":[0.9425948,0.003350041,0.02824892,0.002373109,0.000282644,0.002278768,0.01886304,0.00004528894,0.001963441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.210787,"threshold_uncertainty_score":0.4191201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05005512956940621,"score_gpt":0.3387159251261142,"score_spread":0.288660795556708,"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."}}