{"id":"W2024217884","doi":"10.1155/2014/278096","title":"High-Dimensional Medial Lobe Morphometry: An Automated MRI Biomarker for the New AD Diagnostic Criteria","year":2014,"lang":"en","type":"article","venue":"International Journal of Alzheimer s Disease","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut Universitaire en Santé Mentale de Québec","funders":"National Institute on Aging; Pfizer; Natural Sciences and Engineering Research Council of Canada; University of California, San Diego; Genentech; National Institute of Biomedical Imaging and Bioengineering; University of California, Los Angeles; U.S. Food and Drug Administration; National Institutes of Health; Eisai; Northern California Institute for Research and Education; McGill University; Alzheimer's Disease Neuroimaging Initiative; F. Hoffmann-La Roche; Medpace; GlaxoSmithKline; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; Elan; Novartis; Synarc; Dana Foundation; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Medicine; Magnetic resonance imaging; Neuroimaging; Biomarker; Atrophy; Cohort; Generalizability theory; Temporal lobe; Imaging biomarker; Radiology; Pathology; Psychology; Psychiatry","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":[0.003312638,0.0005653837,0.0005143243,0.003809265,0.000316772,0.0008869506,0.001028094,0.0006531159,0.001093699],"category_scores_gemma":[0.009917092,0.0002500592,0.0004589435,0.00118874,0.0005189256,0.0006914568,0.0007220891,0.0004089725,0.0005201171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004662737,"about_ca_system_score_gemma":0.0006375912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002751576,"about_ca_topic_score_gemma":0.003831642,"domain_scores_codex":[0.9978281,0.001057687,0.0001394405,0.0003110192,0.0006031956,0.00006063281],"domain_scores_gemma":[0.9966128,0.001134723,0.0009248581,0.000384823,0.0008098912,0.0001327552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009938952,0.000249779,0.5454767,0.0002770899,0.000583882,0.0002723181,0.0003136945,0.01138376,0.05152488,0.001594113,0.005504374,0.3818254],"study_design_scores_gemma":[0.000223283,0.0005990075,0.8016396,0.0001046948,0.0001630325,0.002221977,0.0001702319,0.1689907,0.01731752,0.0040781,0.004320163,0.0001716739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7642256,0.002100632,0.225885,0.0006893507,0.0001011403,0.0005739751,0.001941435,0.001347831,0.003135148],"genre_scores_gemma":[0.7859336,0.0002445029,0.2114195,0.000185797,0.0001206361,0.0004496029,0.000863529,0.00007989704,0.0007029918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003809265,"threshold_uncertainty_score":0.01751906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754111757018072,"score_gpt":0.3731807995072319,"score_spread":0.3456396819370512,"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."}}