{"id":"W2973128481","doi":"10.1007/s13365-019-00791-6","title":"Machine learning models reveal neurocognitive impairment type and prevalence are associated with distinct variables in HIV/AIDS","year":2019,"lang":"en","type":"article","venue":"Journal of NeuroVirology","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Alberta","funders":"Canadian Institutes of Health Research; University of Calgary","keywords":"Neurocognitive; Logistic regression; Medicine; Univariate; Neuropsychology; Univariate analysis; Random forest; Internal medicine; Multivariate statistics; Multivariate analysis; Clinical psychology; Machine learning; Psychiatry; Cognition","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":[0.0003439793,0.0001467657,0.0003701345,0.0001717121,0.00006034389,0.00001020994,0.0001202591,0.0001124974,0.0001292469],"category_scores_gemma":[0.000312823,0.0001028188,0.00003530225,0.0001504645,0.0001187131,0.0001237296,0.00007457782,0.000749097,0.00005429871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004168658,"about_ca_system_score_gemma":0.00008621247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001401901,"about_ca_topic_score_gemma":0.00002071022,"domain_scores_codex":[0.9983909,0.0007263141,0.0002834404,0.0002071601,0.00006335869,0.0003288113],"domain_scores_gemma":[0.9990004,0.000401426,0.0003167293,0.00008840534,0.0001482598,0.0000448274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002548154,0.0004208785,0.976863,0.00003458929,0.000184465,0.0006199401,0.0002328956,0.0006050782,0.01772581,0.00005310516,0.0001112839,0.0006007919],"study_design_scores_gemma":[0.006745728,0.013245,0.9767821,0.0001528251,0.0001041608,0.001369761,0.00009440642,0.0004080615,0.0002165348,0.0001716799,0.0005604415,0.0001492484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979706,0.001144416,0.00004427929,0.0002060188,0.0001027641,0.0001987049,0.00003675413,0.000009099644,0.0002873924],"genre_scores_gemma":[0.997636,0.0003206108,0.0000387324,0.00009968683,0.00001048286,0.000003597109,0.0000218834,0.0000138363,0.001855185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01750928,"threshold_uncertainty_score":0.419283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466431509241976,"score_gpt":0.2322844914091255,"score_spread":0.2176201763167058,"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."}}