Industrially Produced <i>trans</i> Fat in Foods in Australia
Bibliographic record
Abstract
Abstract Selected foods sampled from Australian supermarkets and fast food outlets were analyzed for trans fat (TF) content. The product with the highest amount of TF (6.3 g/100 g product) was a household shortening. The TF contents in spreads were remarkably low (average 0.5, range 0.2–1.3 g/100 g product) with only 3 out of 15 exceeding the maximum level (2.0 g/100 g fat) permitted in Denmark. Ready‐to‐eat French fries purchased from all but one (1.5 g/100 g product) fast food outlet contained generally low levels of TF (average 0.4, range 0.3–0.7 g/100 g product), and the majority of the outlets appeared to have used non‐hydrogenated vegetable oils for frying. Frozen French fries and ready‐to‐eat potato chips purchased from supermarkets were also low in TF (average 0.1 and 0.2 g/100 g product, respectively). So were the bakery products (biscuits, cakes, bread, cake and muffin mixes) except for croissants. However, 9 out of the 103 products tested would have been prohibited from sale in Denmark, while 25 and 12 products would have failed to qualify for ‘trans fat‐free’ claims according to the mandatory labeling regulations currently in force in Canada the USA, respectively.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".