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Record W7071086670

Short-rotation coppice of willows for the production of biomass in Eastern Canada

2013· book-chapter· en· W7071086670 on OpenAlexaboutno aff

Bibliographic record

VenueFlorence Research (University of Florence) · 2013
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicBioenergy crop production and management
Canadian institutionsnot available
Fundersnot available
KeywordsWillowBiomass (ecology)CoppicingContext (archaeology)BioenergyProduction (economics)AgricultureShort rotation coppiceYield (engineering)
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.182

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.080
GPT teacher head0.252
Teacher spread0.172 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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