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Record W2169955813 · doi:10.1002/cmr.a.10054

Activation and deactivation in blood oxygenation level dependent functional magnetic resonance imaging

2003· article· en· W2169955813 on OpenAlex
Uta Frankenstein, Anders B.A. Wennerberg, W. Richter, Çharles N. Bernstein, Dara Morden, F. Rémy, M. McIntyre

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 institutionsUniversity of ManitobaNational Research Council Institute for Biodiagnostics
Fundersnot available
KeywordsBlood oxygenationShuntingOxygenationFunctional magnetic resonance imagingSIGNAL (programming language)ExcitationChemistryMagnetic resonance imagingPerfusionNuclear magnetic resonanceComputer scienceNeurosciencePhysicsPsychologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract Decreases in the blood oxygenation level dependent signal are somewhat puzzling for several reasons. The first is the synaptic complexity in interactive networks, and the second involves the interplay between oxidative demand and perfusion in producing signal change. The third reason involves the relativity of both activation and deactivation to the choice of the baseline condition. The fourth is that deactivations could reflect passive shunting of blood to activating areas as easily as they reflect active inhibition. However, understanding deactivations is necessary to fully understand how excitation and inhibition affect functional images. We propose strategies using convergent experiments as a means of elucidating the nature of deactivations. © 2003 Wiley Periodicals, Inc. Concepts Magn Reson 16A: 63–70, 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score0.826

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)0.0000.000

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 head0.030
GPT teacher head0.301
Teacher spread0.271 · 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