Japanese Functional Foods Available in the U.S.A.
Bibliographic record
Abstract
Ever since Japanese cuisine was first introduced to the United States in the last quarter of the 19th century, public acceptance of Japanese cuisine has steadily improved among the American public. In the past few decades, Japanese foods have gained much attention and popularity, and the types of foods served at Japanese restaurants have become diverse: noodles like Ramen, Soba, Udon, and Shabu-shabu, Kushi-yaki, BBQs, just naming the few. The number of Asian supermarkets have also been increasing, making it easier for consumers to access authentic ingredients at affordable prices.\n\tAfter WWII, Japanese foods have been significantly influenced by Western culture. While many of their dishes have become higher in calories, unhealthy fats, and sugar, Japanese people still claim the title for the longest life expectancy in the world. \n\tThis paper will examine a variety of Japanese functional foods that are available in the United States. Each food carries unique therapeutic effects, which may be a part of the secret to Japanese longevity. Sample recipes are provided using Japanese functional food ingredients so that readers can try these nutritious recipes and add them to their cooking repertoire.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 0.079 |
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; both teacher heads agree on what is shown here.
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".