Meeting report: The 1st BRG‐training school in Asia, a first step in the building of an ASEAN encapsulation network
Bibliographic record
Abstract
The 6th training school on bioencapsulation of the Bioencapsulation Research Group (BRG http://bioencapsulation.net/2014_Nha_Trang/index1.html) took place in Nha Trang, Vietnam, in March 2014. This event, organised by AgroSup Dijon, Nha Trang University and the BRG with the support of the Agency of French‐Speaking Universities (Agence Universitaire de la Francophonie, AUF) and Büchi was the first BRG‐event organised in Asia. The success of this school, which brought together bioencapsulation researchers from eight countries of the Association of Southeast Asian Nations (ASEAN) along with those from Europe, Japan, Australia and many other countries, shows that bioencapsulation is a growing field in Southeast Asia. After a brief presentation of bibliometric data showing the dynamism and the specificities of encapsulation research in Southeast Asia, a presentation of the achievements and needs in some countries is given showing the interest in building a network in this region.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.158 | 0.064 |
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".