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Record W2058133446 · doi:10.13031/2013.42473

Harvest of Natural Shrubs with a Biobaler in Various Environments in Québec, Ontario and Minnesota

2012· article· en· W2058133446 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueApplied Engineering in Agriculture · 2012
Typearticle
Languageen
FieldEngineering
TopicForest Biomass Utilization and Management
Canadian institutionsUniversité LavalAgriculture and Agri-Food Canada
FundersNatural Resources CanadaCanadian Natural Resources Limited
KeywordsEnvironmental scienceUnderstoryWillowBiomass (ecology)Basal areaAgronomyForestryCropAgroforestryCanopyGeographyBiologyEcology

Abstract

fetched live from OpenAlex

The biobaler is a novel approach to cut woody crops up to 150-mm basal diameter and compress the biomass into round bales. It can be used to harvest short-rotation woody crop plantations such as willow or hybrid poplar. It can also be used to clear wild brush, forest understory, and encroaching small trees to improve land management. A commercial version of the biobaler was evaluated for the latter purpose, i.e., to harvest natural shrubs in various environments in central Canada (at three sites in Qubec and two sites in Ontario) and in mid-western United States (at seven sites in Minnesota). More than 250 bales were harvested and monitored on natural stands in 2009 and 2010 to gain information on machinery management under wide-ranging conditions of crop species, density, and soil conditions. The harvest rate ranged from 2 to 26 bales/h (average of 14 bales/h). Bale mass averaged 477 kg at 46% moisture content [260 kg dry mass (DM)/bale at a density of 166 kg DM/m]. Diesel fuel consumption averaged 8.5 L/t DM. Harvesting cost with the biobaler was estimated at $33/t DM in high yield with rapid harvest (20 bale/h) and $64/t DM at low capacity (10 bales/h) which can be caused by lower yield or poor traction. The information will be helpful to evaluate the cost of environmental management of natural stands covered with brush and the potential biomass that may be recovered.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.407
Threshold uncertainty score0.872

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.002
GPT teacher head0.134
Teacher spread0.132 · 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