RESEARCH Postprandial enrichment o 3
Bibliographic record
Abstract
e2 Background decline through fish consumption [4]. In humans, three Conway et al. Lipids in Health and Disease 2014, 13:148 http://www.lipidworld.com/content/13/1/148ogenous (i.e. dietary lipids) and endogenous (i.e. derivedJ1H 4C4, Canada Full list of author information is available at the end of the articleA higher intake of fish-oil containing long chain n − 3 polyunsaturated fatty acids (n − 3 PUFA) is known to de-crease the risks of cardiovascular disease (CVD) [1] and potentially cognitive decline in the elderly [2]. However, carriers of the apolipoprotein (apo) E ε4 allele (E4+), the most important genetic risk factor for Alzheimer’s disease (AD) [3], do not seem to be protected against cognitive principal isoforms of APOE (i.e. APOE2, APOE3 and APOE4) resulting from six genotypes (i.e. ε2/ε2, ε2/ε3, ε2/ ε4, ε3/ε3, ε3/ε4 and ε4/ε4) have been identified [5]. Even if results are still inconsistants, most studies aiming to inves-tigate the response to fish-oil supplementation according to APOE genotype suggested greater lipid responsiveness in E4+ carriers compared to non-carriers (E4−). ApoE is found on the surface of chylomicron remnants, VLDL and HDL2 particles where it acts as a ligand for low density lipoprotein receptor family (LDLR), thus playing an important role in the regulation and transport of ex-
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.047 | 0.019 |
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".