Short Rotation Energy Crops: Differences in Biomass Production of Twelve Taxa after Two Cutting Rotations
Bibliographic record
Abstract
This essay compares the productions of twelve different taxa of short rotation woody crops, from two consecutive harvests with tree years cutting rotation. The species and clones used were Princess tree, Canadian poplar (three clones), Field elm (tree clones), European white elm, Adafuel, Tamarisk, White willow and Plane tree. The species with the highest average productions per plant are poplars, paulownia and elms, with MC poplar clone and paulownia giving the greatest weights in the first cut. In the second cut, MC poplar reaches very high average production values, while rest of poplars, elms and paulownia are more even in this second cut. Regarding the average production per hectare, MC poplar clone stands out at first harvest, followed by Luisa Avanzo poplar clone, and Adafuel. Field elm Pareja and Curi-1 clones, as well as I-214 poplar clone, also achieve good productions. At second harvest, the MC clone poplar continues to stand out, with much difference from the other taxa, almost doubling the following taxon. With respect to the average increase in production between the first and second harvest, the taxon with the highest increase is I-214 poplar clone, followed by MC poplar clone, Tamarisk and Field elm Curi-2 clone.
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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 | 0.000 | 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) | 0.001 | 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".