Short-rotation coppice of willows for the production of biomass in Eastern Canada
Bibliographic record
Abstract
Eastern Canada is one region where willow short-rotation coppice has been the focus of \nnumerous research projects over the last 15-20 years. Most experimental data published \nduring this period concerning Quebec have found a high biomass potential, due to a \ncombination of several factors, including the very high biomass yield of certain willow \nvarieties, favourable pedoclimatic conditions and the very low incidence of severe pests and \ndiseases. These high biomass yields have encouraged some growers to choose willows as an \nalternative agricultural crop, leading to a dramatic expansion of land devoted to willow \nshort-rotation coppice in the province, especially over the last five years. However, thefuture evolution of this crop’s production will most certainly be influenced by the \ndevelopment of an active market for such biomass, which would encourage farmers to grow \nwillow over a much larger surface area. In particular, developments in the technology of \nfeedstock transformation and marketing issues related to product potential both merit \nfurther study. The high potential of willow for bioenergy production and environmental \napplications, including phytoremediation, in the Quebec context has been clearly \ndemonstrated.
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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 | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".