Measurement of the abundance of choline and the distribution of choline-containing moieties in meat
Bibliographic record
Abstract
Epidemiological studies identify meat as a major source of choline; however, the most comprehensive reference for food choline content, the United States Department of Agriculture (USDA) database for dietary choline, does not include values for meats of importance in some regions. In this work, the total choline and choline-containing moieties of 20 samples of meat were analyzed by LC-MS/MS; 16 samples analyzed are absent from the USDA database and 4 samples included for comparison. Average total choline for one serving (75 g) was 50 ± 12 mg, which was 82.6% ± 5.5% phosphatidylcholine. There was general agreement between total choline levels in the meats analyzed in this work and USDA values. A strong negative correlation (r = -0.777, p < 0.001) between total choline and fat content was found. This research added choline composition data to a food group that is a major source of choline and ultimately this data will assist in obtaining more accurate estimates of dietary choline.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".