The first Phuket International Symposium on Colorectal Disease: postgraduate course of the Asia Pacific Federation Congress 2013 of the International College of Surgeons
Bibliographic record
Abstract
The first Biennial International Symposium on Colorectal Disease held in Phuket, Thailand, from Dec 8 to Dec 10, 2013, was hosted by the governor of the International College of Surgeons, assistant professor and chief of the colorectal department of the Bangkok Hospital Phuket, Dr. Art Hiranyakas on behalf of the International College of Surgeons, the Society of Colon and Rectal surgeons of Thailand, Vachira Phuket Hospital and Bangkok Hospital Phuket. It was undoubtedly a unique opportunity to hear from internationally acclaimed speakers and experience the most exotic and exceptional Phuket beauty. The three-day exhilarating meeting agenda focused on rectal cancer treatment and advances in colorectal surgery. On the first day, a stimulating live surgery session, moderated by Dr Giovanni Milito, Professor of Surgery, Tor Vergata University Hospital, Rome, Italy, was held showcasing parallel laparoscopic and robotic low anterior resections for distal rectal cancer performed by Drs. Steven Wexner and Seon-Hahn Kim, respectively. The cases were followed by a live demonstration of total mesorectal excision specimen examination and an assessment of mesorectal integrity by the expert gastrointestinal pathologist Dr. Mariana Berho, Chairman of the Pathology and Laboratory Medicine, Cleveland Clinic Florida. This lively and highly informative session prompted an excellent exchange among experts and the attendees.[...]
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.027 | 0.004 |
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".