Bibliographic record
Abstract
Andreas Straube, MD, and Ulrich Büttner, MD. Karger, Basel, Switzerland, 2007. ISBN 978-3-8055-8251-3, $198.00. Scope: This book is a multi-authored monograph in the series entitled Developments in Ophthalmology edited by W. Behrens-Baumann. The aim of this volume is to present to clinicians and basic scientists the current state of research and clinical studies in the ocular motor system. The aim is also to promote a continuing interdisciplinary approach to further improve diagnostic methods and develop new therapies. The book contains 10 chapters from 13 contributing authors, 39 figures, and 3 tables. It highlights our current understanding on the anatomy and mechanical properties of the ocular motor system, the neural basis of the vestibular-ocular reflex, saccadic, smooth pursuit, and vergence eye movements, and the contribution of the eyelid to eye movements. It also discusses the various techniques for recording eye movements and the current models of different eye movement subsystems. It concludes with a chapter on pharmacologic treatment of ocular motor disorders. Strengths: The chapters in this book reflect the expertise of its authors, all knowledgeable in ocular motor control. Important topics are covered, and advances in different areas are well presented and referenced. Weaknesses: A more in-depth treatment of the topics would be beneficial for someone who is not familiar with the ocular motor system; however, this is not the intention of this book, which focuses on recent advances in this field. Recommended Audience: This book successfully reaches its target audience-ophthalmologists, neurologists, and basic scientists. Critical Appraisal: This book is worthwhile reading for anyone who would like to become familiar with the latest developments in ocular motor research. Agnes Wong, MD, PhD, FRCSC University of Toronto Toronto, Ontario, Canada
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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.091 | 0.085 |
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".