{"id":"W4416198899","doi":"10.3390/bs15111552","title":"Predictors of Transition from Mild Cognitive Impairment to Normal Cognition and Dementia","year":2025,"lang":"en","type":"article","venue":"Behavioral Sciences","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":3,"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; Natural Science Foundation of Liaoning Province; Eisai; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Dementia; Cognition; Neuroimaging; Atrophy; Cognitive impairment; Alzheimer's disease; Hippocampal formation; Neuropsychology; Alzheimer's Disease Neuroimaging Initiative","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002850884,0.00009858668,0.0001579447,0.0002282429,0.0001415381,0.00003461795,0.00006205485,0.00004052113,0.0003024572],"category_scores_gemma":[0.00001476332,0.0000825454,0.00004821067,0.0004526672,0.0003190235,0.0001553274,0.00005223914,0.00006849574,0.000007606684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001869207,"about_ca_system_score_gemma":0.0001151461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003654976,"about_ca_topic_score_gemma":0.00005692654,"domain_scores_codex":[0.9987925,0.00004590209,0.00020577,0.0002825558,0.0004436642,0.0002295571],"domain_scores_gemma":[0.9995877,0.0000382057,0.00003584699,0.00005180034,0.000157584,0.0001288189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004207845,0.0007234005,0.9601714,0.00003471845,0.00007497513,0.00000955837,0.0006696075,4.624435e-7,0.02426342,0.0000274565,0.0002395153,0.01336468],"study_design_scores_gemma":[0.001516692,0.001923302,0.9301279,0.0003273778,0.0005776246,0.00000188503,0.001974828,0.00003063529,0.06331339,0.00009115586,0.00003783792,0.00007732146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959192,0.0001524539,0.0005366028,0.0005945658,0.00009159365,0.0007602955,0.00009135956,0.00002184389,0.001832103],"genre_scores_gemma":[0.9990843,0.00002690592,0.0003590097,0.0002918393,0.00002469001,0.00006562664,0.00005562454,0.000003115521,0.00008889502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03904997,"threshold_uncertainty_score":0.3366104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03132354460850464,"score_gpt":0.3593635492539879,"score_spread":0.3280400046454833,"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."}}