{"id":"W2035771001","doi":"10.3389/fnagi.2014.00264","title":"The effects of intracranial volume adjustment approaches on multiple regional MRI volumes in healthy aging and Alzheimer's disease","year":2014,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":482,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Canadian Institutes of Health Research; University of California, San Diego; Genentech; National Institutes of Health; IXICO; Synarc; Swedish Brain Power; Servier; Karolinska Institutet; Eisai; Stockholms Läns Landsting; Fondation pour la Recherche Médicale; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Medpace; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Novartis Pharmaceuticals Corporation; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association","keywords":"Atrophy; Neuroimaging; Magnetic resonance imaging; Brain size; Cohort; Neurodegeneration; Hippocampal formation; Psychology; Internal medicine; Neuropsychology; Medicine; Hippocampus; Neuroscience; Population; Cognition; Disease; Radiology","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":[0.0341281,0.001531753,0.0008206649,0.001311186,0.0007455293,0.001040908,0.001035591,0.0005428883,0.0007359318],"category_scores_gemma":[0.06272683,0.0004126126,0.001605453,0.001847515,0.001348865,0.001043781,0.001017539,0.001105011,0.0002897774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007106219,"about_ca_system_score_gemma":0.001111348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008732104,"about_ca_topic_score_gemma":0.01451402,"domain_scores_codex":[0.9800434,0.01454297,0.0008957299,0.002390337,0.001799553,0.0003280632],"domain_scores_gemma":[0.9547296,0.03422835,0.004169111,0.004914502,0.001523582,0.0004349248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0104863,0.0002444948,0.5959533,0.0007009416,0.01170918,0.0005533298,0.002091474,0.01369576,0.01558538,0.003735793,0.003815066,0.341429],"study_design_scores_gemma":[0.0001294034,0.001942564,0.9558905,0.0001114724,0.001364466,0.0005111072,0.0004480546,0.02329656,0.00708465,0.004859535,0.004233364,0.0001282413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8683522,0.01754959,0.1060643,0.001360518,0.0007764763,0.0004714397,0.001241984,0.0007822305,0.003401174],"genre_scores_gemma":[0.9597395,0.001093402,0.03640357,0.0002512893,0.0001326835,0.0001838167,0.0006189807,0.0004711252,0.001105489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0341281,"threshold_uncertainty_score":0.1804888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02285047793920986,"score_gpt":0.2761061707479409,"score_spread":0.253255692808731,"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."}}