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High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas

2017· article· en· 489 citations· W2611096323 on OpenAlex· 10.1016/j.neuroimage.2017.04.046

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Opus teacher head0.016
GPT teacher head0.290
Teacher spread
0.273 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

The record

Venue
NeuroImage
Topic
Neonatal and fetal brain pathology
Field
Medicine
Canadian institutions
Funders
National Center for Research ResourcesNational Institute of Biomedical Imaging and BioengineeringNational Institute on Drug AbuseNational Institute of Neurological Disorders and StrokeNational Institute of Mental HealthNIH Blueprint for Neuroscience ResearchNational Institute on AgingNational Cancer InstituteNational Institutes of HealthCanadian Institutes of Health ResearchAlexander von Humboldt-StiftungPresbyterian Historical SocietyNational Institute of Diabetes and Digestive and Kidney DiseasesEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentU.S. Department of Defense
Keywords
Atlas (anatomy)Magnetic resonance imagingSegmentationFunctional magnetic resonance imagingNuclear magnetic resonanceNeuroimagingPhysicsComputer scienceComputer visionNeurosciencePsychologyMedicineAnatomyRadiology
Has abstract in OpenAlex
no