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Record W2336354482 · doi:10.21836/pem20070303

Insulin resistance and compensation in laminitis-predisposed ponies characterized by the Minimal Model

2007· article· en· W2336354482 on OpenAlexaff
K. H. Treiber, Tanja Hess, D. S. Kronfeld, RC Boston, R Gear, Patricia A. Harris

Bibliographic record

VenuePferdeheilkunde Equine Medicine · 2007
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Equine Medical Research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsLaminitisInsulin resistanceMedicineCompensation (psychology)Internal medicineEndocrinologyInsulinVeterinary medicineBiologyHorsePsychology

Abstract

fetched live from OpenAlex

Glucose metabolism in Welsh and Dartmoor ponies and ponies disposed to pasture laminitis was characterized using the Minimal Model of glucose and insulin dynamics. Laminitis-disposed ponies were selected based on farm records of previous disease incidence and nonparallel hoof-lines. All ponies were maintained on pasture and in early March each underwent a frequent sampling intravenous (iv) glucose tolerance test which involved a bolus of 300 mg/kg glucose followed 20 min later by an iv bolus of 20 mIU/kg insulin. Sampling began just prior to the glucose dose and continued for 4 h. Glucose and insulin curves were modeled to determine insulin sensitivity, glucose effectiveness, acute insulin response to glucose and disposition index. Ponies with previous incidents of laminitis were less insulin sensitive and demonstrated compensatory insulin hypersecretion compared to ponies not at risk. Management of at-risk ponies to avoid insulin resistance and triggers for insulin secretion could reduce the likelihood of developing clinical laminitis.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.905
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.091
GPT teacher head0.373
Teacher spread0.282 · 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.

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

Citations34
Published2007
Admission routes1
Has abstractyes

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