IDS2018. 21st International Drying Symposium. Proceedings
Bibliographic record
Abstract
The institutional organizers of IDS 2018 are the Department of Food Technology at the Universitat Politècnica de València and the Department of Chemistry at the University of Illes Balears. Like its previous biannual IDS conferences, the objective of 21th IDS is to provide the most advanced and comprehensive global forum for disseminating results and data in research, development, and applications in drying/dewatering sciences and technologies.This Symposium will be held in the main campus of the Universitat Politècnica de València and aims to bring together leading researchers and engineers from academia and from industry from all around the world in this university environment. It is also planned during the meeting an exposition of industrial equipment and developments. An Award program will be also part of the event for the international drying community. This Symposium is the 21th event in the series founded by Professor Arun S. Mujumdar at McGill University, Montreal, Canada, in 1978
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 | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".