{"id":"W2043036609","doi":"10.1016/j.neurobiolaging.2010.01.022","title":"Analysis of regional MRI volumes and thicknesses as predictors of conversion from mild cognitive impairment to Alzheimer's disease","year":2010,"lang":"en","type":"article","venue":"Neurobiology of Aging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":114,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Kuopion Yliopistollinen Sairaala; European Commission","keywords":"Magnetic resonance imaging; Caudate nucleus; Cognitive impairment; Hippocampus; Cognition; Alzheimer's disease; Psychology; Amygdala; Effects of sleep deprivation on cognitive performance; Internal medicine; Cognitive test; Medicine; Disease; Audiology; Cardiology; Nuclear medicine; Neuroscience; Radiology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001713412,0.0001144394,0.0004019775,0.0004017183,0.00003544112,0.000002956854,0.00007820228,0.00005824382,0.0003683334],"category_scores_gemma":[0.00009743752,0.00009687308,0.0001287322,0.0003060221,0.000450518,0.00004299709,0.0001161884,0.0001570409,0.000002864669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004014097,"about_ca_system_score_gemma":0.0000987139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002377089,"about_ca_topic_score_gemma":0.00001393086,"domain_scores_codex":[0.9989731,0.00009341315,0.0002649414,0.0002945141,0.0002038606,0.0001702289],"domain_scores_gemma":[0.9988578,0.0003590785,0.0001411847,0.0001529769,0.0003085695,0.0001803966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008007041,0.0002411002,0.975462,0.00005537788,0.001552167,0.000009572347,0.0003400254,0.0000022145,0.02111098,0.000008096832,0.0001496687,0.0002680921],"study_design_scores_gemma":[0.001046313,0.0007634548,0.9393185,0.0001072431,0.003189634,0.000001945722,0.0003671418,0.0001027746,0.05497505,0.00001940608,0.00004548873,0.00006307681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998131,0.0002072701,0.00002137221,0.0009493475,0.00009020455,0.0003434209,0.0001348681,0.00001061223,0.0001119483],"genre_scores_gemma":[0.9992135,0.0001082605,0.00007462362,0.0003719399,0.0000293036,0.000009628071,0.0001542249,0.000007498927,0.00003101983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03614353,"threshold_uncertainty_score":0.4032993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471464687597556,"score_gpt":0.2994695586309608,"score_spread":0.2847549117549852,"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."}}