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Record W2888606032 · doi:10.1152/ajpheart.00453.2018

A call to reevaluate cardiac autonomic assessment after spinal cord injury

2018· article· en· W2888606032 on OpenAlexafffund
Hisham Sharif, Michael F. La Fountaine, Jill M. Wecht, David S. Ditor

Bibliographic record

VenueAmerican Journal of Physiology-Heart and Circulatory Physiology · 2018
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsBrock University
FundersOntario Neurotrauma Foundation
KeywordsAutonomic functionSpinal cord injuryMedicineHeart rateHeart rate variabilityAutonomic nervous systemSpinal cordCardiac function curveCardiologyAnesthesiaInternal medicinePhysical medicine and rehabilitationBlood pressureHeart failure

Abstract

fetched live from OpenAlex

This "Perspectives" article puts forward the notion that measuring heart rate variability, or other forms of cardiac autonomic regulation, after spinal cord injury must be performed during a test of autonomic stress. Resting values of heart rate variability are often similar to those obtained from able-bodied individuals, which may therefore be falsely interpreted as normal or healthy autonomic regulation. However, evidence shows that despite normal resting values, cardiac autonomic control is impaired when individual with spinal cord injury are subjected to a cold face test, head-up tilt, or recovery from exercise. Accordingly, examination of cardiac autonomic function must be performed during an autonomic challenge, as resting measures do not accurately reflect the state of cardiovascular regulation after spinal cord injury and can provide false information.

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.

How this classification was reachedexpand

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.985
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.015
GPT teacher head0.315
Teacher spread0.300 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2018
Admission routes2
Has abstractyes

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