Acute Ingestion of a Ketone Ester Beverage and Its Impact Upon Glycaemic Control, Appetite, and Food Intake
Bibliographic record
Abstract
Ketosis is a state in which ketone bodies are hepatically produced, which can lead to weight loss, appetite suppression, and improved glycaemic control. Reaching a state of ketosis can be difficult to attain and can be induced by fasting or restricting dietary carbohydrates. Exogenous ketones in the form of ketone monoesters have been shown to efficiently induce a state of ketosis. Ketone monoesters are synthetic molecules. The aim of the study was to determine the impact of the acute ingestion of a ketone ester beverage upon appetite, food intake, and glycaemic control. Participants ingested the ketone ester beverage and measurements were taken to gauge perceived appetite, food intake, related peripheral hormones, glycaemic control, and blood ketone levels. The results of the study showed that the ketone monoester beverage caused an increase in blood ketone levels and resulted in appetite suppression and improved glycaemic control. The ingestion of a ketone ester beverage may offer therapeutic use for the prevention and treatment of chronic, nutritionally mediated diseases, such as obesity and Type 2 diabetes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".