Évaluation de la structure et de la variabilité génétiques des populations naturelles du pin d'Alep (<i>Pinus halepensis</i>Mill.) au Maroc à l'aide de marqueurs isoenzymatiques
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Aleppo pine (Pinus halepensis Mill.) is a species threatened by anthropogenic overexploitation due to climate change. To contribute to its conservation, we evaluate the structure and the genetic diversity of the natural pine populations. We studied the genetic diversity of 14 populations (Rif, Middle Atlas, eastern Morocco and High Atlas) using an isoenzymatic marker. The results of the analysis indicated that the genetic variation of pine in Morocco is modest in comparison with other Mediterranean provenances. However, the study revealed a high coefficient of differentiation among populations (Fst = 9.5%). Two main population groups were identified based on genetic distances: South—West and North-East.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| 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 it