Magnesium concentration in the Canadian Douglas-fir needles of different provenances
Bibliographic record
Abstract
The morphology, anatomy, ecology and physiology of introduced tree species should be tested in order to confirm their autochthonous characteristics and justify their introduction. Douglas-fir (Pseudotsuga mensiesii Mirb/Franco) is a species with a very wide geographical range of distribution and an extensive altitudinal range. Its natural area of distribution stretches from New Mexico to Canada and from the Pacific to the Rocky Mountains. The species should be tested using the model of provenance tests in order to select the most adaptive and promising provenances to be introduced into new ecosystems of Serbia. This paper deals with the content of magnesium in the needles of Douglas-fir in different provenances originating from Canada. Magnesium is the most important mineral for all living organisms and affects a number of biochemical processes in plants.The research was carried out on fourteen different provenances of Douglas-fir originating from Canada on two different soil types - eutric cambisol and vertisol. All the trees of the study provenances were of the same age and grown under the same conditions on two different types of soil. The determined amounts of magnesium in the needles indicate that there are differences in the ability of certain provenances of Douglas-fir to absorb this element of nutrition from the soil.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".