{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001141719,0.00009105036,0.0001498196,0.00004901459,0.0001063957,0.00001034312,0.00003458211,0.00009478656,0.0005080811],"category_scores_gemma":[0.0002377663,0.00007949054,0.00003888916,0.000189496,0.00003409222,0.00004824766,0.00002792982,0.0001971602,0.0001315989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005978448,"about_ca_system_score_gemma":0.00005419927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002774149,"about_ca_topic_score_gemma":0.00004878133,"domain_scores_codex":[0.9991238,0.0003049024,0.0001137837,0.0002052444,0.00001842123,0.0002339067],"domain_scores_gemma":[0.9996806,0.0001124275,0.00002506675,0.000090929,0.00007308644,0.00001791444],"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":[0.0005972655,0.000303202,0.7962077,0.00001605803,0.0001765161,0.00003379547,0.0002080062,0.00005754983,0.1931629,0.00006797812,0.004116584,0.005052417],"study_design_scores_gemma":[0.02134642,0.01072083,0.3137445,0.0001298393,0.0002334465,0.0002333693,0.0002608251,0.0009706483,0.1900277,0.0002983373,0.4613844,0.0006497322],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994938,0.002385889,0.0006123441,0.0001039196,0.0001578624,0.0002418644,0.0001802562,0.00005989316,0.001320021],"genre_scores_gemma":[0.9811665,0.0002687366,0.00008141593,0.00003299005,0.00001431422,0.00006148392,0.002217031,0.00001250737,0.01614505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4824633,"threshold_uncertainty_score":0.5563131,"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."}}