{"id":"W4412825463","doi":"10.1002/hbm.70280","title":"Cross‐Dataset Evaluation of Dementia Longitudinal Progression Prediction Models","year":2025,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; National Institute on Aging; National Medical Research Council; National Institute of Biomedical Imaging and Bioengineering; Temasek Foundation; Canadian Institutes of Health Research; Avid Radiopharmaceuticals; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Ministry of Health -Singapore; BioClinica; Biogen; Pfizer; Novartis Pharmaceuticals Corporation; University of Southern California; National Center for Advancing Translational Sciences; Meso Scale Diagnostics; Medical Research Council; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Disease Neuroimaging Initiative; Alzheimer's Association","keywords":"Neuroimaging; Artificial intelligence; Computer science; Dementia; Feature (linguistics); Multivariate statistics; Recurrent neural network; Machine learning; Artificial neural network; Disease; Pattern recognition (psychology); Neuroscience; Psychology; Medicine; Pathology","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":[0.002084094,0.0001026947,0.0001604478,0.0003096733,0.0002299771,0.00004298273,0.00008182549,0.00005766034,0.0006774535],"category_scores_gemma":[0.00017237,0.00009539936,0.00005978187,0.0002683256,0.00008634645,0.0002040722,0.00009836084,0.0001302315,0.000008265084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008499331,"about_ca_system_score_gemma":0.0001484508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001383535,"about_ca_topic_score_gemma":0.000005004889,"domain_scores_codex":[0.9981898,0.0001461345,0.0003324211,0.0002815132,0.0008295299,0.0002206128],"domain_scores_gemma":[0.9990833,0.00004462815,0.00009092196,0.0002359506,0.0004917648,0.00005343432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002302701,0.0007512009,0.8199444,0.0009083893,0.0006417322,0.00001179644,0.0003387482,0.0003934173,0.1198848,0.002131306,0.02287205,0.03189189],"study_design_scores_gemma":[0.002990599,0.0001995397,0.9612375,0.0007523775,0.0002817501,0.000003633747,0.000136396,0.02746245,0.001941083,0.00357807,0.001345942,0.00007062779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974553,0.0003835479,0.01357301,0.0004767629,0.00007812083,0.001170247,0.00009071373,0.00004509935,0.009629463],"genre_scores_gemma":[0.9973481,0.000005935172,0.0002048072,0.0001201193,0.00005371463,0.0001184695,0.001621782,0.000007529466,0.0005195566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1412932,"threshold_uncertainty_score":0.7417641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1044254687378112,"score_gpt":0.4369005414428423,"score_spread":0.3324750727050311,"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."}}