Nanosafe 2008: International Conference on Safe production and use of nanomaterials
Bibliographic record
Abstract
Welcome from the organizers The rapidly developing field of nanotechnology opens up many exciting opportunities and benefits for new materials with significantly improved properties as well as some revolutionary applications in the fields of energy, environment, medicine, etc. These new materials potentially pave the way to considerable innovations in many industries of the 21st century although associated risks must be perfectly under control for workers, consumers and the environment. So, one can easily understand why Nanosafety is now considered as a specific new scientific area, gaining in importance and maturity every day. Following the successful outcome of the two past international conferences on the safe production and use of nanomaterials: Nanosafe 2008 and 2010, the organizing committee has the pleasure of welcoming again to Grenoble some of the most famous specialists of the field in the world. In addition to the standard issues addressed in previous nanosafe conferences such as Toxicology, Eco-toxicology, Expology, Detection, Life Cycle Analysis, Regulation and Standardization, new topics of great interest will be dealt with this year, concerning Governance and practical Risk Management for OSH experts and Societal issues. In order to enhance the exchanges and conviviality three debates werw organized around Nano Governance, Toxicology and Ethics. We hope that you will appreciate this new Nanosafe edition like the previous ones. This is your Nanosafe conference, please enjoy. The Nanosafe conference organisers Francois Tardif and Frederic Shuster Management Vanessa Gaultier Francois TardifFrederic Shuster Vanessa Gaultier Local Organizing Committee Vanessa GAULTIER (CEA) Francois TARDIF (CEA) Dominique BAGUET (CEA) Frededric SHUSTER (CEA) Yves SICARD (CEA) Catherine DURAND (CEA) Didier MOLKO (MINATEC) International Scientific Committee Chair: Frederic SCHUSTER (CEA, FR) Francois TARDIF (CEA, FR) Co-chair: Georgios KATALAGARIANAKIS (EC, BE) Melanie AUFFAN (CEREGE, FR) Jorge BOCZKOWSKI (INSERM, FR) Jean-Yves BOTTERO (CEREGE, FR) Jacques BOUILLARD (INERIS, FR) Derk BROUWER (TNO, NL) Marie CARRIERE (CEA, FR) Claude EMOND (U. MONTREAL, CA) Cassandra ENGEMAN (UCSB, USA) Eric GAFFET (CNRS, FR) Francois GENSDARMES (IRSN, FR) Alexei GRINBAUM (CEA, FR) Antje GROBE (U.STUTTGART, DE) Peter HOET (KUL, BE) Eric QUEMENEUR (CEA, FR) Olivier LE BIHAN (INERIS, FR) Robert MUIR (NANEUM, UK) Tinh NGUYEN (NIST, USA) Bernd NOWACK (EMPA, CH) Gunter OBERDORSTER (U. ROCHESTER, USA) David PUI (U. MINNESOTA, USA) Michael RIEDIKER (IST, CH) Yves SAMSON (CEA, FR) Ken TAKEDA (U. TOKYO, JP) Olivier WITSCHGER (INRS, FR) The PDF contains a list of sponsor logos, the conference programme and planning documents.
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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".