Neurology Survival Guide. 2003. Edited by Dave A. Rengachary, Published by Lippincott Williams & Wilkins. 366 Pages. C$40 approx.
Bibliographic record
Abstract
The Neurology Survival Guide is one book in the series of the Washington Manual Survival Guides.The book is intended to be a ready pocket reference for residents, with particular attention paid toward urgent inpatient issues.Topics are well-outlined and include useful tables and references not seen in other similar books.Although, the text could go further to explain background information that would be helpful for new or off service residents.Overall, this is a valuable aid for neurology residents throughout their training.Balancing a compact style of writing and ease of use are always a challenge for condensed reference books.The format of this text follows an efficient use of bold headlines and bullet points.This style allows the reader to quickly skim the text as seen in the comprehensive but compact list of central nervous system infections.Unique topics are also covered such as the chapter dedicated to stroke trials.This makes the reference more valuable to beginning and senior neurology residents who have a background understanding.Residents or clerks, with little neurological background, may find similar pocket books easier to use.Some of the basic issues, like physical exam, are not reviewed as completely as more introductory pocket guides.This type of reader is helped by the use of tables for specific differentials and advisory comments under such titles as LE
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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.404 | 0.476 |
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".