{"id":"W2019795338","doi":"10.1016/j.neuroimage.2008.07.009","title":"Human brain white matter atlas: Identification and assignment of common anatomical structures in superficial white matter","year":2008,"lang":"en","type":"article","venue":"NeuroImage","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":583,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Center for Research Resources; National Institute on Aging; University of California, Los Angeles; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; Johns Hopkins University","keywords":"White matter; Diffusion MRI; Atlas (anatomy); Fiber tract; Neuroscience; Anatomy; Human brain; Cortex (anatomy); Neuroimaging; Biology; Magnetic resonance imaging; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007154259,0.0001474982,0.0002604663,0.0001529788,0.00008156522,0.00001503984,0.0001062576,0.00005712641,0.0001867427],"category_scores_gemma":[0.00001117861,0.0001424315,0.00004633862,0.000157179,0.000197097,0.00010247,0.00007555506,0.000262917,0.00001934912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002830953,"about_ca_system_score_gemma":0.00001181984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001893797,"about_ca_topic_score_gemma":0.000006198668,"domain_scores_codex":[0.9988279,0.00005479276,0.0003927728,0.0003623327,0.0001827055,0.0001795452],"domain_scores_gemma":[0.9993531,0.00002903028,0.0001033213,0.000417254,0.00003152535,0.00006581647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002331926,0.0001160122,0.8122605,0.00004051728,0.000002693359,0.00003393627,0.0001433773,0.000006025744,0.1741064,0.0001523546,0.01300964,0.0001051463],"study_design_scores_gemma":[0.0004771979,0.00005715021,0.9870246,0.00002268078,0.00001408812,0.0001393074,0.00001610878,0.0001140712,0.01045281,0.0008619072,0.000713503,0.0001065401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912168,0.00001426563,0.0008186889,0.006495399,0.00002198025,0.0004189438,0.00002261995,0.00005383533,0.0009374399],"genre_scores_gemma":[0.9960604,0.00001049274,0.001180402,0.002013567,0.00004025587,0.00003000827,0.00003408779,0.00003308213,0.0005976777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1747641,"threshold_uncertainty_score":0.5808186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03712681418569049,"score_gpt":0.3304083827480047,"score_spread":0.2932815685623142,"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."}}