Dependence of douglas-fir mean height on geographic origin of canadian provenances in seedling nursery conditions
Bibliographic record
Abstract
Abstract Popović V., Lavadinović V., Bjelanović I., Lavadinović V.: Dependence of Douglas-fir mean height on geographic origin of Canadian provenances in seedlings nursery conditions. Ekologia (Bratislava), Vol. 32, No. 3, p. 328-334, 2013. Seed and seedling tests, performed with the aim of acquiring knowledge about the genetic potential of selected provenances, are generally one of the first trials in a complex system of comparative examinations to be conducted upon the introduction of alien tree species. This paper presents the results of the investigation of the dependence of the mean height of 14 Canadian origin Douglas- -fir provenances, originating from latitude 49o 10’ to 51o 35’, longitude 11 o 20’ to 120o 10’ and the altitude of 488 to 1,070 m, on the geographic origin. Understanding the variations in the mean height of a seedling is of major importance for acquiring knowledge on genetic potential of selected provenances, which are one of the key parameters for the introduction of Douglas fir into relevant forest sites in Serbia.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".