Le genre Guibourtia Benn: un modèle biologique idéal pour comprendre les mécanismes de spéciation
Bibliographic record
Abstract
• Funk D.J. et Omland K.E. 2003. Species-level, Paraphyly and polyphyly: Frequency, Causes, and Consequences, with Insights from Animal Mitochondrial DNA. Ecol. Evol. Syst.34: 397423. • FCBA. 2008. Le guide des essences de bois : 74 essences les choisir, les reconnaitre, les utiliser. Editions Eyrolles. ISBN 978-2-212-12086-8. 145 p. • White F. 1983. The vegetation of Africa, a description memoir to accompany the UNESCO/AETFAT/UNSO. Natural Resources Research 20: 1-356. • Adams, J.M. et Faure, H. 1997. Review and Atlas of Palaeovegetation: Preliminary land ecosystem maps of the world since the Last Glacial Maximum. QEN project, Oak Ridge National Laboratory, TN, USA, disponible a l'adresse : http://www.esd.ornl.gov/projects/qen/adams1.html. • Fougere-Danezan Marie. 2006. Phylogenie moleculaire et morphologique des Detarieae resiniferes (Leguminosae : Caesalpinioideae). Contribution a l'etude de l'histoire biogeographique des legumineuses. These de doctorat de L’universite Toulouse III – Paul Sabatier / Universite de Montreal. 329 p. © Copyright 2013 Graines de G. tessmannii © J.L. DOUCET Juvenile de G. tessmannii © J.L. DOUCET
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.004 |
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".