Bibliographic record
Abstract
I want to thank Dr. Chih-Hung Lin and Dr. Fu-Chan Wei for serving as guest editors for this issue of Seminars in Plastic Surgery on “Extremity-Saving Surgery and Reconstruction: From Microsurgery Reconstruction to Transplantation.” We also appreciate the efforts made by each author on their respective articles and sharing with us their experience and knowledge. Dr. Chih-Hung Lin completed his internship at Mackay Memorial Hospital in Taipei, Taiwan, and his residency in general and plastic surgery at Chang Gung Memorial Hospital in Taipei, Taiwan. Currently, Dr. Chih-Hung Lin is chairman of Plastic and Reconstructive Surgery at Chang Gung Memorial Hospital and is an expert in posttraumatic upper- and lower-extremity reconstructions. An area of his particular focus is on the incorporation of conventional hand surgery with microsurgical free flap transfer. Currently, he is the secretary general of the Taiwan Society for Surgery of the Hand. Dr. Fu-Chan Wei graduated from Kaohsiung Medical College in 1972 and completed his surgical residency at Chang Gung Memorial Hospital, where he also received his training in plastic surgery. Subsequently, he completed 2 years of postgraduate training, first at the University of Toronto as a microvascular surgery fellow then at the University of Louisville as a hand surgery fellow. Early in his career, he became the chairman of the Plastic and Reconstructive Surgery department at Chang Gung Memorial Hospital from 1994 through 1999. At present, he is a professor of surgery and dean of the College of Medicine of Chang Gung University. Dr. Wei is executive vice superintendent of the hospital and the chairman of the research and development committee of the Chang Gung System. He has had numerous international fellows and observers from around the world complete their training at his establishment while under his direction and supervision. He has been the president of several societies including the Plastic and Reconstructive Surgery Association, the Hand Surgery Society of the Republic of China, the International Microsurgery Society, and the World Society for Reconstructive Microsurgery. Dr. Wei has edited countless books and has contributed innumerable book chapters and articles in the field of plastic surgery. His is truly one of the most recognized names in our field.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.039 | 0.017 |
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".