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Record W2002315868 · doi:10.1109/icdret.2009.5454236

Wood biomass supply model for bioenergy production in northwestern Ontario

2009· article· en· W2002315868 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venue2009 1st International Conference on the Developements in Renewable Energy Technology (ICDRET) · 2009
Typearticle
Languageen
FieldEngineering
TopicForest Biomass Utilization and Management
Canadian institutionsLakehead University
Fundersnot available
KeywordsProcurementBioenergyBiomass (ecology)Production (economics)Environmental scienceAgricultural engineeringEnvironmental economicsQuality (philosophy)BiofuelForestryAgricultural economicsBusinessEnvironmental engineeringWaste managementEngineeringEconomicsGeographyEcology

Abstract

fetched live from OpenAlex

Wood biomass procurement for bioenergy production in an economic and sustainable way is a complex problem as it involves conflicting objectives of minimizing cost and distance of procurement, and maximizing quality of biomass, which is measured in terms of its moisture content. The multi-objective optimization problem is solved through pre-emptive goal programming approach using LINGO 11 software, where the cost of procurement is given the first priority, distance of procurement the second priority, and quality of biomass the third priority. The use of the model is demonstrated using a realistic example for bioenergy production for the recently established Abitibi-Bowater Inc. power plant at Fort Frances in northwestern Ontario, Canada, which has a weekly demand of 13,000 green tonnes for 50 Megawatt power production. The model selects quantity of biomass to be procured from each of the three zones ranging from 0–50 km, 50–70 km, and 70–100 km to meet the weekly demand.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.030
GPT teacher head0.243
Teacher spread0.213 · 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