Preface to CAMURE-11 & ISMR-10 Special Issue
Bibliographic record
Abstract
T he first CAMURE (Catalysis in Multiphase Reactor) meeting was launched in 1994 (Lyon, France) by Prof. Claude de Bellefon.It was followed by other meetings held in the following different venues: Toulouse (France) in 1998, Naples (Italy) in 2000, Lausanne (Switzerland) in 2002, and Portorose (Slovenia) in 2005.In 2005, in correspondence to the Symposium held in Portorose, the CAMURE Symposium was merged with ISMR (International Symposium on Multifunctional Reactors).The previous ISMR meetings were held in Amsterdam (The Netherlands) in 1999, Nuremberg (Germany) in 2001, and Bath (United Kingdom) in 2003.After 2005, the two merged symposia were held at Pune (India) in 2007, Montreal (Canada) in 2009, Naantali (Finland) in 2011, Lyon again in 2014, and Qingdao (China) in 2017; the most recent Symposium was scheduled to occur in Milano (Italy) May 31-June 3, 2020.The reason for merging the two symposia was the idea that enlarging the platform of discussion on, respectively, multiphase catalytic systems and multifunctional reactors can produce a positive synergetic effect in both fields.The CAMURE and ISMR joint Symposia offer an international interdisciplinary forum for exchanging information about the progress achieved in the world on, respectively, catalysis in multiphase reactors and the behavior of multifunctional reactors, considering, in particular, the importance of catalytic action, chemical kinetics, heat, mass transfer, and hydrodynamics in reactor modeling.These topics have been gradually enriched, considering many other different aspects, such as process intensification, catalysts design, membrane reactors, bioreactors, biocatalysis, and sustainable chemical processes with the scope to favor the interdisciplinary scientific and technological approach to all the mentioned topics.The
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.043 | 0.002 |
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; both teacher heads agree on what is shown here.
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".