MétaCan
Menu
Back to cohort
Record W2016547047 · doi:10.1111/micc.12199

Feed the Brain: Insights into the Study of Neurovascular Coupling

2015· editorial· en· W2016547047 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMicrocirculation · 2015
Typeeditorial
Languageen
FieldMedicine
TopicTraumatic Brain Injury and Neurovascular Disturbances
Canadian institutionsMontreal Heart InstituteLibin Cardiovascular Institute of AlbertaUniversité de MontréalUniversity of CalgaryWestern University
FundersCanadian Institutes of Health Research
KeywordsNeurovascular bundleMicrocirculationNeuroscienceCerebral blood flowSkeletal muscleCognitive scienceMatching (statistics)Blood flowComputer scienceMedicineAnatomyPsychologyPathologyCardiologyInternal medicine

Abstract

fetched live from OpenAlex

The microcirculation is tightly regulated by a diverse range of mechanisms which share the common goal of matching blood flow delivery with tissue metabolic demand. Despite in-depth examination of tissues like skeletal muscle, brain microcirculation has remained largely unexplored due to methodological limitations. Recent, technological advances have, however, started to grant greater access to this vital microcirculatory bed. This overview is part of a Special Topics Issue centered on the methodology, theory, and mechanistic basis of neurovascular coupling. Solicited manuscripts have been purposely written in an opinionated manner to provoke thought and to illuminate new emerging areas of investigation.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.763

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.279
Teacher spread0.257 · 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