Bibliographic record
Abstract
Control of Breathing in Health and Disease Editors: ALTOSE, Murray D., MD, BSc (Case Western Reserve Univ); KAWAKAMI, Yoshikazu, MD, PhD (Hokkaido Univ) Bibliographic Data: (ISBN: 0-8247-9854-6, Marcel Dekker Inc., 1999, $225.00) 767 pages, Contributors, hard cover Audiences: Pulmonologists, Pulmonology Researchers Subjects: Pulmonology Other Info: The book contains black-and-white illustrations. DESCRIPTION: This book is a very significant addition to a previous book, Dempsey’s Regulation of Breathing, 2nd Edition (Marcel Dekker, Inc., 1995), published in The Lung Biology in Health and Disease series. The book is about the most current advances in the control of breathing, both in health and disease. PURPOSE: The purpose is to bring about a closer liaison between basic research and patient care. The editors accomplish this superbly. There is a very good balance between basic science and clinical applications in general. AUDIENCE: The audience is clinicians, clinical investigators, and basic scientists in the fields of respiratory diseases, neuropathophysiology, sleep disturbances, critical medical care, and cardiology. FEATURES: This book has a diverse content ranging from basic physiology to lung transplantation, including pediatric and geriatric topics, awake and asleep disturbances, and hypo- and hyper-ventilation. The contributors are the very top experts in the topics selected. It would be hard to have a better selection. The presentation in general is pleasant, well organized, and didactic. The topics are reviewed in great detail so that this book can stand as a solid reference. It is extremely well illustrated and the references are extensive and current. ASSESSMENT: I highly recommend this book as a must for the library of the audience mentioned above. SCORE: Weighted Numerical Score: 91 - ****
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.022 | 0.013 |
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".