Bibliographic record
Abstract
Following the initial success of the Asian Society of Gynecologic Oncology (ASGO) 1st Biennial Meeting Tokyo in 2009, the ASGO 2nd Biennial Meeting was held in the Ritz Carlton Hotel, Seoul from the 3 to 5 November 2011 and again, it was a resounding success.It saw active participation from 15 Asian countries as well as 5 non Asian countries (USA, UK, Canada, Germany, and Eritrea).The total number of registrants was 622 with a total of 226 abstract submissions (Table 1).The theme for this year meeting was 'New Insight into Gynecologic Cancer in Asia' and the purpose was to serve as a platform for mutual exchange and sharing of the latest developments in the field of gynecologic oncology in Asia.The scientific program was very comprehensive (Fig. 1).It covers all aspects of gynecologic oncology.There were 5 plenary sessions, covering various pertinent management issues and updates in uterine, cervical, ovarian cancers and gestational trophoblastic diseases as well as a special plenary session on controversial issues in gynecologic oncology and one entire plenary session focusing on translational research.There were 3 free communication sessions and poster display with a total of 29 oral and 133 poster presentations.ASGO was also honored to have 4 renowned speakers from International Gynecologic Cancer Society (IGCS): current President of IGCS, Shingo Fujii (Japan), Jonathan Ledermann (UK), Ginger Gardner (USA) and Jonathan Berek (USA); and another 3 from Society of Gynecologic Oncology (SGO): Ronald Alvarez (USA), Linus Chuang (USA), and Warner Huh (USA).The meeting started off with a special session on International Collaboration of Clinical Research during which there was active sharing of current trial programs from the Gynecologic Cancer InterGroup (GCIG), Gynecologic Oncology Group (GOG), Japanese Gynecologic Oncology Group (JGOG) and Korean Gynecologic Oncology Group (KGOG).This session opens up avenues for future collaboration with the aim to improve management outcome of women with gynecologic cancers in Asia.Professor Soon-Beom Kang delivered the Presidential Address on 'New Asian leadership for fighting against gynecologic cancer' highlighting the need for Asian leaders for Asian women who are a distinct group with different genetic makeup and hence different disease epidemiology and characteristics from the Western population [1].Part of the ASGO commitment was towards the training of young gynecologic oncologists in Asia to meet the rising demand for gynecology oncology services in the region as the approximately one-half of all global cancer mortalities were still observed in Asia [1,2].Thus, special to this year biennial
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.142 | 0.091 |
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".