{"id":"W2776686071","doi":"10.1016/j.nicl.2017.12.036","title":"Systematic comparison of different techniques to measure hippocampal subfield volumes in ADNI2","year":2017,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; DoD Alzheimer's Disease Neuroimaging Initiative; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Eli Lilly and Company; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Measure (data warehouse); Hippocampal formation; Neuroscience; Psychology; Computer science; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001237961,0.0001570395,0.0009605535,0.0001387113,0.00007706419,0.00006124069,0.0003632553,0.0001213407,0.00009620877],"category_scores_gemma":[0.005928644,0.0001191139,0.0002198813,0.0000682035,0.0001875208,0.00007525541,0.0002372984,0.0005325021,0.00005033957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002127166,"about_ca_system_score_gemma":0.00006161383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002517435,"about_ca_topic_score_gemma":0.0000505001,"domain_scores_codex":[0.9973592,0.0003606531,0.001014863,0.0003820485,0.0005866824,0.0002966158],"domain_scores_gemma":[0.998009,0.0004356608,0.0002541621,0.0008569764,0.000210272,0.0002339084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005188049,0.001215804,0.9772055,0.00231481,0.00003803609,0.00009628032,0.00006178347,1.422421e-8,0.003163138,0.00002022842,0.001331123,0.01403444],"study_design_scores_gemma":[0.001180699,0.002940661,0.981193,0.003291867,0.000101837,0.000007801726,0.0001137545,0.0001602348,0.01077106,0.00005455272,0.00007971391,0.0001047816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915137,0.00005480925,0.0002696563,0.001779814,0.0002016478,0.001519632,0.00000338933,0.00004218269,0.004615206],"genre_scores_gemma":[0.9984933,0.00002679897,0.0002647328,0.0004009319,0.0001058584,0.00008488836,0.000002934326,0.00001825505,0.0006023715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01392966,"threshold_uncertainty_score":0.7097569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.120967615878541,"score_gpt":0.464794507419052,"score_spread":0.343826891540511,"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."}}