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Record W2171396468

Market Effectiveness Assessment

2001· article· en· W2171396468 on OpenAlexaboutno aff
Peter Cramton, Jeffrey Lien

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Power System Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsElectricity marketMarket powerBusinessMarket analysisIndustrial organizationElectricityElectric power industryEconomicsMarketingEngineeringMarket economy
DOInot available

Abstract

fetched live from OpenAlex

Executive Summary This report is an assessment of the potential for efficient operations of the restructured wholesale electricity markets in Ontario. We analyze the market rules outlined by the Market Design Committee and further developed by the Independent Market Operator (IMO) Technical Panel, and also discuss the provisions of the Market Power Mitigation Agreement embodied within the licenses issued by the Ontario Energy Board (OEB) to Ontario Power Generation (OPG) and other market participants. We believe that the market rules contain many wellconceived provisions consistent with the efficient operations of an integrated grid for electrical service; however, the rules fall short in several key aspects. In addition, as presently structured, the Market Power Mitigation Agreement is likely to fail in promoting a competitive market. We recommend the inclusion of a few essential market elements and a more aggressive mitigation of OPG’s dominant position.

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 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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.981
Threshold uncertainty score0.450

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 head0.004
GPT teacher head0.221
Teacher spread0.216 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2001
Admission routes1
Has abstractyes

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