{"id":"W2811480054","doi":"10.1016/j.neuroimage.2018.08.012","title":"A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology","year":2018,"lang":"en","type":"preprint","venue":"NeuroImage","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Mental Health; National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Genentech; National Institutes of Health; H. Lundbeck A/S; Servier; Universidad de Castilla-La Mancha; NIH Blueprint for Neuroscience Research; Fujirebio Europe; Eisai; Bristol-Myers Squibb; Ministerio de Economía y Competitividad; Lundbeckfonden; U.S. Department of Defense; Eli Lilly and Company; Eusko Jaurlaritza; DoD Alzheimer's Disease Neuroimaging Initiative; Pfizer; Biogen; BioClinica; National Center for Research Resources; F. Hoffmann-La Roche; National Institute of Neurological Disorders and Stroke; IXICO; Takeda Pharmaceutical Company; European Commission; AbbVie; European Research Council; Northern California Institute for Research and Education; Massachusetts General Hospital; Novartis Pharmaceuticals Corporation; University of Southern California; Roche; Alzheimer's Drug Discovery Foundation; Merck; Alzheimer's Association; Foundation for the National Institutes of Health; GE Healthcare; Alzheimer's Disease Neuroimaging Initiative; Johnson and Johnson; Meso Scale Diagnostics","keywords":"Thalamus; Ex vivo; Neuroimaging; Putamen; Atlas (anatomy); Segmentation; Neuroscience; Brain atlas; Human brain; Magnetic resonance imaging; Diffusion MRI; Computer science; In vivo; Artificial intelligence; Medicine; Anatomy; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001026496,0.000256754,0.0004713784,0.000081077,0.0001361138,0.00001642964,0.0003528417,0.0001457723,0.00003648648],"category_scores_gemma":[0.000141747,0.0002023796,0.0001319438,0.000108059,0.0008428526,0.00002360809,0.001022991,0.0008004541,0.000004841761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004595404,"about_ca_system_score_gemma":0.00007016663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002655597,"about_ca_topic_score_gemma":0.000003632102,"domain_scores_codex":[0.9985458,0.00007747742,0.0003390314,0.0006415634,0.0001772194,0.0002188892],"domain_scores_gemma":[0.9980664,0.00008790462,0.0003544557,0.001310284,0.0001141077,0.00006681836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001690232,0.001456578,0.06028702,0.004619337,0.0001490171,0.0002224986,0.001194841,0.00006237964,0.8199918,0.03922163,0.07040991,0.002215962],"study_design_scores_gemma":[0.004985557,0.002165033,0.4751227,0.00375606,0.002113084,0.002400653,0.00008043024,0.007831373,0.07042111,0.2615925,0.1673995,0.002131949],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842282,0.0001062435,0.0008976397,0.003955787,0.0002138484,0.001551271,0.00005126065,0.000270359,0.008725369],"genre_scores_gemma":[0.9940383,0.0000656241,0.004195165,0.0005279473,0.00009513749,0.00008196134,0.00001496295,0.00007178613,0.0009091605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7495707,"threshold_uncertainty_score":0.8252802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06383799917899072,"score_gpt":0.3453682767413612,"score_spread":0.2815302775623705,"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."}}