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Control of Breathing in Health and Disease

2000· article· en· W2027873671 on OpenAlexaff
Michael J. Berry, Noé Zamel

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2000
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicinePulmonologistsPulmonologyLibrary sciencePresentation (obstetrics)GerontologyMedical educationIntensive care medicineInternal medicineComputer scienceSurgery

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.013
GPT teacher head0.289
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations52
Published2000
Admission routes1
Has abstractyes

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