High-performance ceramics III : proceedings of the 3rd International Conference on High-Performance Ceramics (CICC-3) : Incorporating the first International Workshop on Layered and Graded Materials, Shenzhen, China May 9-12, 2004
Bibliographic record
Abstract
Sponsored by the Chinese Ceramic Society, the China International Conference on High-Performance Ceramics (CICC) aims to provide an international forum for the presentation, discussion and review of the latest advances in the science and technology of high-performance ceramics. The present volume contains selected papers from the third conference in the CICC series: CICC-3, which was held from the 9th to the 12th of May, 2004, in Shenzhen, China. It also contains 19 papers which were specially selected by Prof. Chang-Chun Ge and Prof. Jing-Feng Li from among the papers that were submitted to the First International Workshop on Layered and Graded Materials, which was organized as a special session within the framework of CICC-3. All of the papers which are collected together in this volume were subjected to peer-review and their topics cover almost every facet of high-performance ceramics. The contents can be divided into five broad sections: structural ceramics, functional ceramics, ceramic processing, ceramic characterization and layered or graded materials. The more than 300 papers, submitted to this volume by the many Chinese scholars, provide a treasure-house of invaluable information on the latest advances made in China. In addition, some 30 invited papers and about 50 regular papers presented by scholars from other countries - including Japan, Korea, India, France, Portugal, Sweden, Canada, Taiwan and Hong Kong - accurately reflect recent research activities throughout the world. This volume will therefore be of great interest to any scientist or engineer working in the field of high-performance ceramics.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.055 | 0.016 |
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".