{"id":"W4392040891","doi":"10.3390/brainsci14030201","title":"Sex Differences in Conversion Risk from Mild Cognitive Impairment to Alzheimer’s Disease: An Explainable Machine Learning Study with Random Survival Forests and SHAP","year":2024,"lang":"en","type":"article","venue":"Brain Sciences","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; F. Hoffmann-La Roche; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Pfizer; Alzheimer's Association","keywords":"Dementia; Sexual dimorphism; Cognition; Disease; Psychology; Demography; Random forest; Developmental psychology; Gerontology; Internal medicine; Clinical psychology; Medicine; Neuroscience; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.006838196,0.0008669193,0.0006958065,0.0007807003,0.0004530462,0.0008722357,0.0006958012,0.0007329586,0.002180759],"category_scores_gemma":[0.01094706,0.0002247101,0.003018512,0.0003843826,0.0005540311,0.0005457061,0.000625747,0.001273249,0.0002476526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003198897,"about_ca_system_score_gemma":0.00054617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005756487,"about_ca_topic_score_gemma":0.00429023,"domain_scores_codex":[0.9989519,0.000593282,0.00003965235,0.000269964,0.0000476592,0.00009752435],"domain_scores_gemma":[0.9933879,0.005185066,0.0003994993,0.0004829066,0.0002839939,0.0002605317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002093334,0.0002691091,0.7805805,0.0001296806,0.002379973,0.001215147,0.0007047582,0.1445822,0.001687192,0.005677738,0.002287887,0.05839247],"study_design_scores_gemma":[0.00009387047,0.0005138248,0.1229293,0.0000765743,0.0008084997,0.0007200672,0.0002764363,0.8572613,0.0007077786,0.01543433,0.001117533,0.00006051797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671669,0.0006748136,0.03060786,0.0004428863,0.00007792465,0.00003460729,0.0004375725,0.00008769027,0.0004697697],"genre_scores_gemma":[0.9953922,0.0001371629,0.003424164,0.00006353835,0.00004822664,0.00002301839,0.0005045924,0.00002403688,0.0003831703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006838196,"threshold_uncertainty_score":0.03616428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04269351695253398,"score_gpt":0.3440964375603071,"score_spread":0.3014029206077731,"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."}}