Biotechnologies
Bibliographic record
Abstract
Comprend : La politique d'innovation dans trois pays européens : le cas de la biotechnologie / Bernhard Zechendorf - Le rôle des acteurs dans le cycle de vie des jeunes entreprises de biotechnologie / Géraldine Galindo, Najoua Boufaden - Partenariats Public-Privé en génomique : la construction de compromis au sein d'organisation hybrides / Antoine Bureth, Chantale Mailhot - L'influence de l'environnement régional sur la création et la croissance des PME de biotechnologie / Corinne Autant-Bernard, Vincent Mangematin, Nadine Massard - Les biotechnologies en région Provence-Alpes-Côte d'Azur : acteurs, dynamiques et perspectives d'évolution / Stéphane Ghio, Joël Grillasca, Rémi Roghe - Le rôle du brevet dans les biotechnologies : le cas de la BioValley du Rhin supérieur / Antoine Bureth, Rachel Levy, Julien Penin, Sandrine Wolff - Firmes de biotechnologie indépendantes et dépôts de brevets : une exploration économétrique / Stéphane Lhuillery, Catherine Carpentier - Capital-risque et intermédiation : les fondements de l'essor entrepreneurial dans les biotechnologies en Allemagne. L'exemple de la région de Berlin / BrandebourgClaire Champenois - Évolution de l'activité biotechnologique au Canada - 1997, 1999 et 2001 / Lara Raoub
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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.015 | 0.015 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.054 | 0.040 |
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".