{"id":"W2039272415","doi":"10.1007/s11682-012-9203-2","title":"Voxel and surface-based topography of memory and executive deficits in mild cognitive impairment and Alzheimer’s disease","year":2012,"lang":"en","type":"article","venue":"Brain Imaging and Behavior","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Center for Research Resources; U.S. National Library of Medicine; National Institute on Aging; Canadian Institutes of Health Research","keywords":"Alzheimer's Disease Neuroimaging Initiative; Psychology; Neuropsychology; Neuroimaging; Atrophy; Voxel; Neuroscience; Cognition; Temporal lobe; Voxel-based morphometry; Neuropsychological assessment; Cognitive impairment; White matter; Medicine; Magnetic resonance imaging; Internal medicine; Radiology; Epilepsy","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":[0.0003264626,0.0001697197,0.0002290267,0.001152321,0.0001474943,0.0006281838,0.0003108762,0.0003094669,0.001861298],"category_scores_gemma":[0.001923317,0.0001691739,0.0001942541,0.0008273626,0.0002986407,0.0006338189,0.0002993948,0.0001815178,0.0001370028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001498806,"about_ca_system_score_gemma":0.0001991121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004798939,"about_ca_topic_score_gemma":0.005319868,"domain_scores_codex":[0.9999294,0.0000159294,0.000007359453,0.00001083536,0.00001932062,0.00001711415],"domain_scores_gemma":[0.9995856,0.0001885185,0.00009988335,0.00003361116,0.00005941887,0.00003296862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004926195,0.0002894973,0.8117633,0.0001827595,0.0007412916,0.001682685,0.001625165,0.004680314,0.08692009,0.001720125,0.0007194873,0.08474908],"study_design_scores_gemma":[0.00001518268,0.00007983183,0.9947142,0.000003221871,0.0000486926,0.0008470043,0.0002403878,0.00181999,0.001092877,0.001060288,0.00007131185,0.000007069724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991311,0.0001118206,0.0002908667,0.00003046102,0.00000186426,0.000003932627,0.00009139966,0.000008850083,0.000329708],"genre_scores_gemma":[0.9995994,0.00003889836,0.0001726489,0.00000651841,0.000005069687,0.000002793488,0.00005800086,0.000002942845,0.0001136483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004798939,"threshold_uncertainty_score":0.009542048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02583719348378478,"score_gpt":0.3213617625617375,"score_spread":0.2955245690779527,"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."}}