{"id":"W7117868885","doi":"10.2196/80433","title":"Applications of Machine Learning for Cognitive Health in Older Individuals With HIV: Rapid Systematic Review","year":2025,"lang":"en","type":"article","venue":"JMIR Aging","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institute of Mental Health; National Institute of Nursing Research; National Heart, Lung, and Blood Institute; National Institute on Aging","keywords":"Dementia; Neurocognitive; Cognition; Leverage (statistics); Disease; Cognitive decline; MEDLINE","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":[0.01339738,0.001278574,0.006557449,0.01131273,0.0006587844,0.003054071,0.002163667,0.00251568,0.005511521],"category_scores_gemma":[0.06149466,0.0009310339,0.007640283,0.01082084,0.0007843022,0.003557692,0.002067539,0.001902654,0.000474335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005818407,"about_ca_system_score_gemma":0.0178644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008986839,"about_ca_topic_score_gemma":0.03045843,"domain_scores_codex":[0.9919377,0.003069487,0.002698008,0.0004348036,0.001604147,0.0002558908],"domain_scores_gemma":[0.9481368,0.04149095,0.005372062,0.000601861,0.004052723,0.0003456668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001157244,0.00001397161,0.0004593282,0.9348746,0.004203218,0.00007570309,0.0001603261,0.0001231747,0.00006476112,0.0003084067,0.002371651,0.05722916],"study_design_scores_gemma":[0.0001351435,0.00008618966,0.001454195,0.9675513,0.01664497,0.000142995,0.0001308772,0.0001269872,0.00005921921,0.0003327333,0.01331083,0.00002444885],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005562684,0.9972779,0.0002737206,0.0004753442,0.0001393638,0.0006037906,0.0003337989,0.00001422359,0.000325573],"genre_scores_gemma":[0.006903467,0.9899519,0.001101224,0.0006673166,0.0001031878,0.0009402545,0.0001987428,0.000006700951,0.0001273596],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01339738,"threshold_uncertainty_score":0.07085299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316323610124263,"score_gpt":0.3337496131633345,"score_spread":0.3205863770620919,"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."}}