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Record W4239389010 · doi:10.21236/ada612845

Novel Interventions for Heat/Exercise Induced Sudden Death and Fatigue

2014· report· en· W4239389010 on OpenAlexfundno aff
Susan L. Hamilton

Bibliographic record

Venuenot available
Typereport
Languageen
FieldMedicine
TopicExercise and Physiological Responses
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchUniformed Services University of the Health SciencesNational Institutes of HealthMuscular Dystrophy AssociationU.S. Department of Defense
KeywordsPsychological interventionMedicinePhysical medicine and rehabilitationPsychiatry

Abstract

fetched live from OpenAlex

This study was designed to identify human mutation that caused Exertional and/or environmental heat stroke (EHS) and exertional rhabdomyolysis (ER) and to develop new interventions to prevent EHS and ER. We identified RyR1 mutations as a major cause of exertional rhabdomyolysis. 82% of the individuals that were enrolled in the study that had a family history of MH were positive for disease-associated mutations in the RYR1 gene, while 10.5% of index cases enrolled for a history of unexplained or recurrent ER were positive for disease-associated mutations in the RYR1 gene. All of these cases were CHCT positive. Although AICAR was not effective in preventing isoflurane or heat induced episodes in hyper-metabolic response in pigs homozygous for an RyR1 mutation, AICAR was effective in preventing heat-induced hyper-metabolic responses in the heterozygous mouse model of malignant hyperthermia.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.404
Threshold uncertainty score0.846

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.268
GPT teacher head0.438
Teacher spread0.171 · 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 designNot applicable
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

Citations0
Published2014
Admission routes1
Has abstractyes

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