{"id":"W2086492125","doi":"10.1016/j.neurobiolaging.2014.06.031","title":"Single time point high-dimensional morphometry in Alzheimer's disease: group statistics on longitudinally acquired data","year":2014,"lang":"en","type":"article","venue":"Neurobiology of Aging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Institut Universitaire en Santé Mentale de Québec","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute on Aging; Alzheimer's Disease Neuroimaging Initiative; GE Healthcare; National Institutes of Health; Genentech; Novartis; Elan; Innogenetics; Northern California Institute for Research and Education; Johnson and Johnson; Schering-Plough; F. Hoffmann-La Roche; Wyeth; Merck; Alzheimer's Drug Discovery Foundation; GlaxoSmithKline; Abbott Fund; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; Natural Sciences and Engineering Research Council of Canada; Pfizer; Dana Foundation; Eisai; Alzheimer's Association","keywords":"Atrophy; Neurodegeneration; Temporal lobe; Alzheimer's disease; Magnetic resonance imaging; Biomarker; Neuroimaging; Time point; Medicine; Pathology; Cognitive impairment; Disease; Psychology; Neuroscience; Audiology; Radiology; Epilepsy; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02441468,0.0004769604,0.001409866,0.001626183,0.0006878905,0.001008302,0.0009999907,0.001003731,0.0009592121],"category_scores_gemma":[0.05273017,0.0003073601,0.001345628,0.00193157,0.001116897,0.001344984,0.001131086,0.001127886,0.0001646467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004850973,"about_ca_system_score_gemma":0.001189759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006873979,"about_ca_topic_score_gemma":0.008070176,"domain_scores_codex":[0.9936656,0.003787979,0.0004844348,0.001087978,0.0007467723,0.0002271185],"domain_scores_gemma":[0.9571001,0.02753434,0.002863233,0.01022434,0.001794825,0.0004831409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003435531,0.0003225184,0.6781917,0.0002475666,0.002923758,0.0003546441,0.0009489928,0.0379226,0.004562071,0.003844531,0.00466092,0.2625853],"study_design_scores_gemma":[0.0001047098,0.001684403,0.6432235,0.00007517841,0.0009797547,0.0008455668,0.001016412,0.3281604,0.002799675,0.01840925,0.002576096,0.0001250621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8679891,0.0009137237,0.1273225,0.0003347139,0.0001198414,0.0001083918,0.002188298,0.0005898031,0.0004336048],"genre_scores_gemma":[0.9762002,0.0001676919,0.02126103,0.00002643457,0.00003714266,0.0001027495,0.001806905,0.00006533764,0.0003325323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02441468,"threshold_uncertainty_score":0.1291187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03343675307241341,"score_gpt":0.3014641674139888,"score_spread":0.2680274143415754,"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."}}