{"id":"W3215385729","doi":"10.2196/28620","title":"A Phenotyping Algorithm to Identify People With HIV in Electronic Health Record Data (HIV-Phen): Development and Evaluation Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine","keywords":"Algorithm; Human immunodeficiency virus (HIV); Medicine; Demographics; Cohort; Identification (biology); Data mining; Computer science; Machine learning; Family medicine; Pathology; Demography","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":[0.008606572,0.0007929138,0.0005477851,0.001098903,0.0003355858,0.0009326186,0.00124635,0.0006650565,0.0008929206],"category_scores_gemma":[0.01591129,0.0002483184,0.0005545827,0.00091624,0.0003231609,0.001237415,0.0009371574,0.0007416783,0.0002308932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110917,"about_ca_system_score_gemma":0.001892364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004744002,"about_ca_topic_score_gemma":0.003227787,"domain_scores_codex":[0.9967981,0.001509869,0.0002809369,0.0004655815,0.0007924177,0.0001530714],"domain_scores_gemma":[0.9924941,0.00358752,0.0004717071,0.0004699994,0.002558531,0.0004180676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003326732,0.004906616,0.3807041,0.0007010261,0.0007704921,0.0003735969,0.0004377863,0.04443149,0.00435337,0.00129319,0.00999542,0.5487062],"study_design_scores_gemma":[0.002254649,0.00850209,0.1707526,0.0002293879,0.0007841117,0.001399562,0.0004105863,0.796497,0.009273279,0.0008334889,0.008984588,0.0000787321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9329126,0.0009256194,0.05639283,0.0005987506,0.0001146397,0.003795684,0.001808627,0.001206847,0.002244296],"genre_scores_gemma":[0.7387564,0.0007871392,0.251273,0.0004068387,0.00006229833,0.002209611,0.005519813,0.0001180152,0.0008668387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008606572,"threshold_uncertainty_score":0.04551643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1217350855935896,"score_gpt":0.5102946174402543,"score_spread":0.3885595318466646,"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."}}