Potato Production, Usage, and Nutrition—A Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Potato is an economically important staple crop prevailing all across the world with successful large-scale production, consumption, and affordability with easy availability in the open market. Potatoes provide basic nutrients such as-carbohydrates, dietary fiber (skin), several vitamins, and minerals (e.g., potassium, magnesium, iron). On occasion exposures to raw and cooked potatoes impart allergic reactions. Dietary intake of potatoes, especially colored potatoes, play an important role in the production of antioxidant defense system by providing essential nutrient antioxidants, such as vitamins, β-carotene, polyphenols, and minerals. This may help lower the incidence of wide range of chronic and acute disease processes (like hypertension, heart diseases, cancer, neurodegenerative, and other diseases). However, retention of nutrients in potatoes is affected by various cooking and processing methods. Cooking at elevated temperature also produces acrylamide-a suspected carcinogen. Independent and/or collaborative studies have been conducted and reported on the various pathways leading to the formation of acrylamide in heat processed foods. This article reviews the latest research on potato production, consumption, nature of phytochemicals and their health benefits, and allergic reactions to children. Also included is the discovery of acrylamide in processed starch-rich foods including potatoes, mechanism of formation, detection methodologies, and mitigation steps to reduce acrylamide content in food.
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.
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it