{"id":"W3164494725","doi":"10.1097/qad.0000000000002955","title":"Predictive variables for peripheral neuropathy in treated HIV type 1 infection revealed by machine learning","year":2021,"lang":"en","type":"article","venue":"AIDS","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta; Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Logistic regression; Receiver operating characteristic; Peripheral neuropathy; Viral load; Internal medicine; Univariate analysis; Cohort; Area under the curve; Polyneuropathy; Diabetes mellitus; Immunology; Human immunodeficiency virus (HIV); Multivariate analysis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001697685,0.0003405048,0.0003195949,0.0009586333,0.0002723189,0.0006459178,0.0003057728,0.0004939326,0.001741691],"category_scores_gemma":[0.009402227,0.000143911,0.0004199198,0.0007436054,0.0002084058,0.0004502214,0.0002802358,0.0006770787,0.0001832425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001986667,"about_ca_system_score_gemma":0.000441978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001651026,"about_ca_topic_score_gemma":0.00167249,"domain_scores_codex":[0.9993753,0.0002913148,0.00006505701,0.00009268713,0.0001071073,0.00006862129],"domain_scores_gemma":[0.9943907,0.003701654,0.001186371,0.00013455,0.0003327145,0.0002540815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002476219,0.0000621311,0.9928808,0.0000141564,0.00005128684,0.00005318391,0.00001850114,0.001326141,0.0001333601,0.00002217003,0.0001305092,0.005060124],"study_design_scores_gemma":[0.00003528512,0.0004876352,0.9427708,0.00005727542,0.0001132336,0.0008159681,0.0001664318,0.05444203,0.000387604,0.0004268572,0.0002824329,0.0000144752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998013,0.000339865,0.0009782509,0.0001048107,0.00001019281,0.00001652004,0.0002107991,0.00001515439,0.0003113644],"genre_scores_gemma":[0.9990445,0.00006461982,0.0006012185,0.00001606961,0.00001209423,0.000009247085,0.0001996849,0.000001613401,0.00005081698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001741691,"threshold_uncertainty_score":0.008978367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014367530229144,"score_gpt":0.2486181469828722,"score_spread":0.2384744716805808,"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."}}