An Infraspec VFA-IR spectrometer analysis of Trans-fat content in glazed donuts purchased from supermarkets, convenience stores and bakeries
Bibliographic record
Abstract
Most packaged food products must contain trans-fat labelling; however unpackaged snacks such as cookies, donuts, and muffins at supermarkets, gas station convenience stores, and bakeries often do not have or require nutrition fact labels. Hence, consumers are not aware of the trans-fat content in unpackaged food products. It is well-known within the health and scientific community that diets high in trans-fat can lead to a host of health problems, namely coronary heart disease (CHD). The purpose of this study is to conduct a preliminary study of the trans-fat content in unpackaged baked goods, particularly unpackaged glazed donuts. To accomplish our objective, we determined the % trans-fat in oil extracted from glazed donuts obtained from several supermarkets, gas stations and bakeries across Northwest, Indiana. Variable Filter Array (VFA) IR spectroscopy was used to assess the trans-fat content of oil extracted from food samples. In this paper, we present our preliminary findings.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".