Variation in wood color among natural populations of five tree and shrub species in the Sahelian and Sudanian ecozones of Mali
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
There is very little published information about variation in the wood properties of African tree species. To expand markets for wood products from these species, we must understand the factors that affect wood properties, and select the best species and sites to produce wood with the preferred properties. Wood color may be affected by edaphic and climatic conditions, tree age, wood density, and other biological and environmental factors. The major objective of this research was to determine if the mean and variability of wood color variables (L*, a*, and b*) of Balanites aegyptiaca (L.) Delile, Combretum glutinosum Perr. ex DC., Guiera senegalensis J.F. Gmel., Piliostigma reticulatum (DC.) Hochst., and Ziziphus mauritiana Lam. trees varied among regions, soil types, land-use types, and terrain types; and were linearly related with geographical coordinates and mean annual rainfall in the Sahelian and Sudanian ecozones of Mali. Correlations were also investigated among color variables and between wood density and color variables. Results indicated that there was considerable intraspecific variation in wood color variables due to all factors except land-use type; variation patterns were similar for some wood color variables and species, but there were notable differences among some species; and correlations among wood color variables and wood density differed among some species.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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