Water activity : a tool to optimize ex situ genetic diversity conservation in Québec
Bibliographic record
Abstract
/ La direction de la recherche forestière au Québec a dressé un portrait de l'état hydrique de conservation ex situ de près de 1000 lots de graines. Lors de cette enquête la mesure de l'activité de l'eau a été appliquée à trois espèces différentes dont la durée de conservation pouvait atteindre 40 ans. Plus de 90% des lots conservés ont un état hydrique excessif et non optimal, les valeurs moyennes constatées sont de 0.75 aw ce qui est comparable à l'humidité relative constatée dans la plupart des chambres froides. L'impact sur la germination des graines est sensible sur deux espèces et très sensible sur le pinus banksiana qui passe de 85% à 25% de faculté germinative. La matière constitutive des conteneurs de graines semble être perméable à l'eau et ne protège donc pas sur le long terme les semences. Un projet de recherche de définition d'une nouvelle matière a été lancé en collaboration avec le Centre Technique des Matières Plastiques au Québec.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".