An Open Resource for Non-human Primate Imaging
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.
Full frame distilled prediction
Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
- Candidate categories
- none
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: Not applicableConsensus signal: none
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.573
- Threshold uncertainty score
- 0.230
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
- Teacher spread
- 0.387 · 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
Non-human primate neuroimaging is a rapidly growing area of research that promises to transform and scale translational and cross-species comparative neuroscience. Unfortunately, the technological and methodological advances of the past two decades have outpaced the accrual of data, which is particularly challenging given the relatively few centers that have the necessary facilities and capabilities. The PRIMatE Data Exchange (PRIME-DE) addresses this challenge by aggregating independently acquired non-human primate magnetic resonance imaging (MRI) datasets and openly sharing them via the International Neuroimaging Data-sharing Initiative (INDI). Here, we present the rationale, design, and procedures for the PRIME-DE consortium, as well as the initial release, consisting of 25 independent data collections aggregated across 22 sites (total = 217 non-human primates). We also outline the unique pitfalls and challenges that should be considered in the analysis of non-human primate MRI datasets, including providing automated quality assessment of the contributed datasets.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- Neuron
- Topic
- Medical Imaging Techniques and Applications
- Field
- Medicine
- Canadian institutions
- McGill UniversityMontreal Neurological Institute and HospitalWestern University
- Funders
- National Eye InstituteNational Institute on AgingMedical Research CouncilNational Institute of Biomedical Imaging and BioengineeringCanadian Institutes of Health ResearchNational Institutes of HealthFondation de FranceScience and Technology Commission of Shanghai MunicipalityDirectorate for Biological SciencesShanghai Municipal Education CommissionJohn Templeton FoundationNational Natural Science Foundation of ChinaNational Institute of Neurological Disorders and StrokeNational Centre for the Replacement, Refinement and Reduction of Animals in ResearchFondation Brain CanadaEuropean CommissionNatural Science Foundation of ShanghaiNewcastle UniversityUniversity of OxfordMcKnight FoundationFondation NeurodisNederlandse Organisatie voor Wetenschappelijk OnderzoekAgence Nationale de la RechercheBiotechnology and Biological Sciences Research CouncilWellcome TrustChild Mind InstituteIcahn School of Medicine at Mount SinaiNew York Stem Cell FoundationMax-Planck-GesellschaftRoyal SocietyUniversity of MinnesotaNational Science FoundationNational Institute of Mental HealthFondation pour la Recherche MédicaleMcGill UniversityInstitut National de la Santé et de la Recherche MédicaleBRAIN Initiative
- Keywords
- Non human primateNeuroimagingPrimateData scienceComputer scienceData sharingNeurosciencePsychologyMedicineBiologyEvolutionary biologyPathology
- Has abstract in OpenAlex
- yes