{"id":"W2992949780","doi":"10.1097/olq.0000000000001107","title":"Highlights From the 2019 HIV Diagnostics Conference: Optimizing Testing for HIV, STIs, and HCV","year":2019,"lang":"en","type":"article","venue":"Sexually Transmitted Diseases","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health","keywords":"Medicine; Human immunodeficiency virus (HIV); Session (web analytics); Atlanta; Men who have sex with men; Disease control; Hepatitis C; Best practice; Food and drug administration; Family medicine; Medical education; Virology; Medical emergency; Political science; Pathology; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01527241,0.002028387,0.0009255153,0.001316583,0.004827591,0.0113466,0.0029746,0.01042776,0.01688784],"category_scores_gemma":[0.02108365,0.0006013924,0.001716854,0.00127603,0.001597825,0.004595111,0.00495263,0.01813745,0.005443789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005868685,"about_ca_system_score_gemma":0.01353544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006178679,"about_ca_topic_score_gemma":0.01148547,"domain_scores_codex":[0.9922118,0.002284468,0.0003836569,0.0007351062,0.003087498,0.001297439],"domain_scores_gemma":[0.9793453,0.005823647,0.000654021,0.0002465494,0.005729328,0.008201039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005165044,0.00006465134,0.0001599912,0.0003317721,0.000009420041,0.0001668946,0.0003078158,0.00007963779,0.0001467395,0.001160655,0.9742495,0.02327123],"study_design_scores_gemma":[0.00002103436,0.00007464073,0.0008222846,0.0006359215,0.00001580362,0.0001819687,0.001128034,0.00009282193,0.0002208111,0.001549669,0.9952218,0.00003522374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00128375,0.04894176,0.0006424791,0.6811119,0.248939,0.000125483,0.0004221326,0.000112811,0.0184207],"genre_scores_gemma":[0.02085649,0.07195561,0.002497086,0.4646213,0.3794653,0.000353392,0.001248404,0.0003373543,0.05866512],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01688784,"threshold_uncertainty_score":0.08076918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02629795384045668,"score_gpt":0.2954989776507385,"score_spread":0.2692010238102818,"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."}}