Book Review of Clinics in Plastic Surgery: Local Anesthetics for Plastic Surgery
Bibliographic record
Abstract
Nasim Huq, ed. Clinics in Plastic Surgery: Local Anesthetics for Plastic Surgery . New York: Elsevier, 2013. ISBN-10: 0323264069 ![Graphic][1] This book continues the “spirit” of the Clinics update series in plastic surgery and is similarly formatted and presented. It is edited by Dr Huq from Canada and his mostly Canadian team. The book contains 14 chapters and has supplementary videos, although it was unclear just from this issue how they can be accessed. Dr Huq has an established university-based and private office–based practice in Ontario, and regularly performs procedures under local anesthetic (LA). Increasingly, patients are cost-conscious and expect minimal downtime. This has resulted in more requests for procedures under LA. This book has a wide-ranging and experienced faculty, and covers the important topics of LA related to plastic and cosmetic surgery. “A Primer on Local Anesthetics for Plastic Surgery” reviews the basic pharmacology of LA as well as new developments in its field, such as ultra-long-lasting LA. Following … [1]: /embed/inline-graphic-1.gif
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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 teacher head, 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".