Clinical Neuroimmunology. Multiple Sclerosis and Related Disorders. 2011. Edited by Syed A. Rizvi, Patricia K. Coyle. Published by Humana Press. 404 pages. C$240 approx.
Bibliographic record
Abstract
assembled and edited this volume dedicated to the posterior fossa, and coauthored seven of its 25 chapters.As one of Peter Jannetta's former students and present day disciple she comes by his expertise in, and passion for, this anatomic territory honestly.This text is an earnest contribution to the neurosurgical library, readable, thorough but not too thick.It begins with a concise review of the history of posterior fossa surgery followed by a richly illustrated chapter on microsurgical anatomy, nicely done.The remaining chapters in this section of the book, on imaging, pathology and nonsurgical conditions, are relatively brief and the latter two weakened by being entirely without illustrations (especially pathology).The next two multi-authored sections, entitled "Disease-Based Management" and "Surgical Techniques" contain unavoidable repetitions, not always a bad thing.Many chapters are concise, authoritative and excellent, but as expected, others less so.In total, tumours are well covered, as is infectious disease.Three common conditions on which the book disappointed were microvascular cross compression syndromes, dural arteriovenous fistulae of the posterior fossa and Chiari 1 malformations.Microsurgical approaches to aneurysms in the posterior circulation are well and amply covered by experts in the field, but the next edition of this book might find this topic included in the history chapter.This book provides good, accessible information and principles for trainees, and is a reasonable price for a high quality publication.For more experienced surgeons the content is, on average, an adequate review.Of course the individual topics and subjects are covered elsewhere in more comprehensive neurosurgical texts, but this book is unique in putting all that pertains to the posterior fossa between two covers.Not an essential purchase for personal libraries, but a good one for training programs.
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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) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.114 | 0.103 |
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".