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Record W2164680224

Short rotation woody crops grown on marginal soil for biomass energy.

2014· article· en· W2164680224 on OpenAlexaboutno aff
M. Stolarski, Michał Krzyżaniak, S. Szczukowski, J. Tworkowski, A. Bieniek

Bibliographic record

VenuePolish Journal of Environmental Studies · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBioenergy crop production and management
Canadian institutionsnot available
Fundersnot available
KeywordsShort rotation forestryBiomass (ecology)WillowEnvironmental scienceEnergy cropAgroforestryBioenergyMarginal landAgronomyYield (engineering)Agricultural landAgricultureWoody plantRaw materialShort rotation coppiceBiofuelBiologyBotanyEcology
DOInot available

Abstract

fetched live from OpenAlex

Short rotation woody crops are grown to be used as feedstock for energy and industrial purposes in many countries of Europe, and in the USA and Canada. Wood biomass is acquired from forests, the wood industry, and as a by-product of trimming trees and bushes. In future, considerable amounts of wood biomass should be supplied by dedicated energy crops (willow, poplar, black locust). The aim of this study was to determine the morphological features, yield and energy value of the yield of three species of plants grown at a site with poor soil quality and low usability for edible crops. The study has shown that the species of willow and poplar can be grown on poor quality agricultural land because they provide high yield, high energy, and high coal equivalent. However, the biomass of black locust may fail to provide sufficient yield to justify setting up a plantation using this species.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.025
GPT teacher head0.232
Teacher spread0.207 · 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

Citations24
Published2014
Admission routes1
Has abstractyes

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Same venuePolish Journal of Environmental StudiesSame topicBioenergy crop production and managementFrench-language works237,207