Lactic Acid Bacteria: Microbiological and Functional Aspects, 3rd Revised and Expanded Edition Edited by Seppo Salminen, Atte von Wright, and Arthur Ouwehand New York: Marcel Dekker, 2004. 633 pp. $229.95 (cloth)
Bibliographic record
Abstract
The past 5 years has seen an explosion in studies on lactic acid bacteria, particularly on their applications to foods and probiotics. This textbook has been revised to cover the progress that has been made and the changes in direction of the field that have occurred during these past 5 years. The length of the book attests to the growing volume of studies that the authors had to review in order to present an overview of the interdisciplinary topics, especially those related to health. The author list has been expanded and includes some experts on probiotics and prebiotics (i.e., nondigestible substances that provide a beneficial physiological effect on the host by selectively stimulating the favorable growth or activity of a limited number of indigenous bacteria) [1]. The book is intended for clinicians, microbiologists, food technologists, nutritionists, product development experts, and regulatory experts, but it could also provide comprehensive reading for students, residents, and fellows who are interested in probiotics. Having said that, clinicians, medical students, and fellows may find that they have to plow through a lot of food-related and detailed information on taxonomy, biochemistry, and genomics to reach the critical, bottom-line information relevant to their practices.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.043 | 0.038 |
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".