The Optimization of Energy Systems under Changing Policies of Greenhouse-gas Emission Control—A Study for the Province of Saskatchewan, Canada
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.
Bibliographic record
Abstract
Abstract Since most of the increased greenhouse gas emissions can be attributed to activities associated with production and consumption of energy, reducing greenhouse gas emission will inevitably affect the energy industry significantly. In this study, policy cases for reflecting greenhouse gas-emission reduction and energy development in the Province of Saskatchewan, Canada are investigated. The impacts of the Kyoto target on Saskatchewan's energy system are analyzed; the least-cost strategies for dealing with greenhouse gas-emission reduction in a long-term horizon are developed. The modeling results suggested that the developed model was capable of supporting in-depth analyses for energy-related activities in response to the greenhouse gas-emission reduction target and could provide effective support for the formulation of the Province's energy polices (utilization of renewable and nuclear power) and strategies in dealing with climate change issues.
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 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 | 0.000 | 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 it