10-Year Outlook Executive Summary
Bibliographic record
Abstract
Ontario’s electricity system faces significant challenges over the next 10 years. The uncertainty surrounding the return to service of Pickering A nuclear units, the lack of new generation investment and the commitment to shut down 7,500 MW of coal fired generation by December 31, 2007, all contribute to a potentially severe shortfall. New transmission, supply and demand side initiatives are urgently needed to address this gap and secure Ontario’s energy future. The need is most pressing in the Toronto area, to deal with the immediate impact of the April 30, 2005 shutdown of the Lakeview Thermal Generating Station. Plans are being implemented to address this in the short term. In the longer term, additional generation is also required in the Toronto area to replace the Lakeview generating capacity and to meet load growth in the Greater Toronto Area (GTA). Each year the Independent Electricity Market Operator (IMO) publishes an integrated assessment of the security and adequacy of the Ontario electricity system over the next 10 years. This report presents the IMO assessment for the 10-year period from 2005 to 2014. It is based on the IMO’s forecast of electricity demand, information provided by Ontario generators on the supply that will be available and the latest information on the configuration and capability of the transmission system. Electricity Supply Outlook Additional Ontario electricity supply and demand-side measures are required to maintain supply adequacy into the future and to reduce Ontario’s dependency on supply from other jurisdictions.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.123 | 0.090 |
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 source (direct Gemma or distilled Codex), 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".