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Record W2145799489

Evaluating three alternatives for proposed electrical transmission lines to southern Vancouver Island

2006· dissertation· en· W2145799489 on OpenAlexaboutno aff
Michael Paul Wise

Bibliographic record

VenueSummit (Simon Fraser University) · 2006
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsElectricityElectric power transmissionReliability (semiconductor)EngineeringTelecommunicationsBusinessFinanceElectrical engineering
DOInot available

Abstract

fetched live from OpenAlex

This study evaluates three proposed alternative electrical transmission projects to Vancouver Island in terms of financial and non-financial characteristics. The three proposals differ in financing, technology, route, and regulatory frameworks. For establishing reliability and meeting future electricity needs, the Vancouver Island Transmission Reinforcement (VITR) Project is the least costly alternative, but will likely not be operational to meet the required in-service date and may encounter continued opposition from special interest groups. The Juan de Fuca (JDF) Project could likely be completed on time, and provide both reliability benefits and export potential. A preliminary financial analyses indicate that the VITR and JDF Projects are complementary; if both projects are constructed, net present value of the benefit to BC Ratepayer/Taxpayers is between $50 and $450 million. The JDF Project would also allow BC Hydro to avoid transmission congestion near Seattle, and thus increase the efficiency of electricity trade with the Pacific Northwest.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.624
Threshold uncertainty score0.747

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0030.002
Scholarly communication0.0060.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.024
GPT teacher head0.298
Teacher spread0.274 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2006
Admission routes1
Has abstractyes

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