MétaCan
Menu
Back to cohort
Record W2000680543 · doi:10.1002/cmr.a.10049

Blood oxygenation level dependent functional magnetic resonance imaging

2003· article· en· W2000680543 on OpenAlex
M. McIntyre, W. Richter, Dara Morden, Anders B.A. Wennerberg, Uta Frankenstein

Why this work is in the frame

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

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueConcepts in Magnetic Resonance Part A · 2003
Typearticle
Languageen
FieldMedicine
TopicAdvanced MRI Techniques and Applications
Canadian institutionsNational Research Council Institute for Biodiagnostics
Fundersnot available
KeywordsFunctional magnetic resonance imagingDephasingBlood oxygenationFunctional magnetic resonance spectroscopy of the brainMagnetic resonance imagingNuclear magnetic resonanceRelaxation (psychology)SIGNAL (programming language)ChemistryNeurosciencePhysicsComputer sciencePsychologyMedicineRadiology

Abstract

fetched live from OpenAlex

Abstract The objective of the present article is to provide an introduction to the most widely used method of imaging the functional neuroanatomy of the human brain. The inferential relationship between neural activation and a magnetic resonance signal change is described in detail. The contrast between an active state and a baseline depends on an increased ratio of oxyhemoglobin to deoxyhemoglobin, a longer transverse relaxation time ( T ), decreased levels of paramagnetically induced dephasing, and a consequently stronger signal in the active state. Issues pertaining to image interpretation, spatial and temporal resolution, and image stability are described. © 2003 Wiley Periodicals, Inc. Concepts Magn Reson 16A: 5–15, 2003

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.791
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

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.

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

Opus teacher head0.032
GPT teacher head0.307
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it