Bibliographic record
Abstract
Abstract The association between dietary fat intake and chronic disease has been researched for more than 60 years. Cardiovascular disease (CVD) continues to be a leading cause of global mortality, accounting for 17.3 million deaths in 2013, equivalent to 31.5% of total deaths. One out of every three deaths in the United States is attributed to heart disease, stroke, or other forms of CVD; an estimated average of one death every second and more than 330 billion dollars in health expenditures and lost productivity. Moreover, the incidence of obesity has doubled from 1980 to 2015 in more than 40 countries and is associated with chronic diseases such as cardiovascular (atherosclerosis) and type 2 diabetes. Selecting diets that provide energy from monounsaturated and polyunsaturated fats are also beneficial to consumer health. Fats and oils are the source of many nonesterified fatty acids that act as signaling molecules to regulate gene expression that controls body homeostasis, including lipid metabolism. This article describes how dietary fats and oils, and related derived products are involved in chemical and biochemical mechanisms that define the safety and toxicity of dietary lipid consumption.
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 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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".