A Regional Evaluation of Potential Bioenergy Production Pathways in Eastern Ontario, Canada
Bibliographic record
Abstract
The potential for bioenergy and biofuel development is considered for five counties in the eastern Ontario region. The downward trend in Ontario's forest sector has resulted in the idling or closure of many forest products mills, creating an opportunity for bioenergy development supported by the Ontario Green Energy and Green Economy Act. In eastern Ontario, additional opportunities are afforded by the presence of a large agricultural base, which could be the source of residual as well as purpose-grown biomass feedstocks. The biological potentials of the region have been mapped and quantified. A range of scenarios for bioenergy and biofuel production based on these resources are considered, and impacts of this potential development are considered in terms of energy demand within the region. Both county- and regional-level approaches are compared to similar analyses at the provincial scale to highlight potential advantages to developing energy policy at local or regional levels. Biomass-sourced processes might be able to meet varying levels of energy demand across three major categories, including home and industrial heating, electricity generation, and production of fuels for transportation. In terms of conventional bioenergy options, the combined heat and power option can provide significant amounts of energy to the eastern region of the province while meeting most of the policy goals laid out by the Ontario government.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".