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Record W2230362264

Monitoring blood glucose levels in female mink during the reproductive cycle: 2. Effects of short-term fish oil, chromium picolinate, and acetylsalicylic acid supplementation during late lactation.

2007· article· en· W2230362264 on OpenAlexaff
Amber M J Hynes, Kirsti Rouvinen‐Watt

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicChromium effects and bioremediation
Canadian institutionsNova Scotia Department of Agriculture
Fundersnot available
KeywordsMinkEndocrinologyInternal medicineLactationMedicineBiologyDiabetes mellitusFish oilPregnancyFish <Actinopterygii>
DOInot available

Abstract

fetched live from OpenAlex

Mink nursing sickness is a metabolic disorder characterized by hyperglycemia that is similar to the metabolic syndrome associated with type 2, or non-insulin-dependent, diabetes mellitus. This research studied the effects of short-term administration of antidiabetic supplements on the blood glucose concentration in female mink during late lactation. Female mink that had blood glucose levels < 5.5 mmol/L (normoglycemic [NG]) or > or = 5.5 mmol/L (hyperglycemic [HG]) early in lactation were given daily supplements of various combinations of herring oil (HerO, 3% in diet), chromium picolinate (CrPic, 200 microg), and acetylsalicylic acid (ASA, 100 mg) for 1 wk starting at day 21 post partum. In the NG mink, most of the treatments did not significantly change the blood glucose concentration from day 28 to 42 post partum. However, treatment with ASA alone and treatment with the combination HerO-CrPic-ASA elevated the blood glucose levels when compared with those of the control group, which had received just the basal diet. In the HG mink, all treatment combinations except CrPic alone and ASA alone, reduced the blood glucose concentration. Thus, in lactating mink with hyperglycemia, the blood glucose concentration may be effectively lowered by dietary antidiabetic supplementation; however, because hyperglycemia also occurs before nursing, preventive measures are recommended throughout the year.

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 score0.067
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.009
GPT teacher head0.227
Teacher spread0.218 · 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

Citations9
Published2007
Admission routes1
Has abstractyes

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