Bibliographic record
Abstract
Advanced Nutrition: Macronutrients, 2nd Edition Author: BERDANIER, Carolyn D., Ph.D. (Univ. of Georgia), Bibliographic Data: (ISBN: 0-8493-8735-3, CRC Press, Inc., 2000, $99.95) 6 chapters, 327 pages, hard cover Audiences: Nutrition Students, Nutritionists Subjects: Nutrition, Biochemistry, Physiology Other Info: The book contains black-and-white illustrations., Reviewed by: Kathy Keiver, Ph.D. , (University of British Columbia) DESCRIPTION: The author of this book covers the basic structure, function, and detailed metabolism of the macronutrients energy and water. She also includes detailed information regarding the interaction between the nutrients and genetics. This is the second edition of the book; the first edition was published in 1994. PURPOSE: The purpose is to explain, review, and explore present knowledge and recent trends, developments, and advances in nutrition. This is a worthy objective, but not always met. For example, a discussion regarding the formulation of the DRIs is lacking (although the history of the formulation of RDAs is covered), as is discussion about the role of fiber in health and the controversies surrounding the use of glycemic index in the management of diabetes. The section on alcohol contains little new information from this field. AUDIENCE: According to the author, this book is written for a scholarly audience but is thought to be of interest to the educated layman. The book is more suited to a scholarly audience. The author is a credible authority on much of the subject matter of this book. ASSESSMENT: This book is most suitable as a reference book, although sometimes information is hidden in unexpected sections, making it difficult to find. In particular, it contains detailed information regarding nutrient/gene interactions. SCORE: Weighted Numerical Score: 70 - ***
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 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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.187 | 0.164 |
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".