Bibliographic record
Abstract
Peter Neligan, Fu-Chan Wei, Editors. Microsurgical Reconstruction of the Head and Neck, St. Louis, MO: Quality Medical Publishing, 2010 ISBN: 1576262693 When two internationally-recognized surgeons and close friends combine their decades of experience in head and neck reconstruction to honor their friend and mentor, Ralph Manktelow, something special is bound to happen. That’s exactly what occurred with Microsurgical Reconstruction of the Head and Neck , a multidisciplinary, international, and comprehensive text. This book is an instant classic and a must-read for those who consider themselves microsurgeons and who perform more than an occasional head and neck reconstruction with free tissue. The title may be somewhat misleading, however, since this volume is so much more than an encyclopedia of microsurgery in head and neck reconstruction. The international cast of contributors is drawn not only from the authors’ home countries of the United States and Taiwan, but also from Canada, Saudi Arabia, Ireland, Japan, and the United Kingdom. Significant pages are devoted to the comprehensive review of related topics from radiation therapy, surgical oncology, medical oncology, anesthesia, and …
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".