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Record W6884640898 · doi:10.11575/prism/35840

Scoping Study Of The Biophysical And Economical Impacts For The Construction Of The Proposed 500kv Transmission Line Between Alberta And British Columbia

2010· other· en· W6884640898 on OpenAlexaboutno aff

Bibliographic record

VenuePRISM (University of Calgary) · 2010
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101DiafiltrationProteogenomicsHyporeflexiaArticular cartilage damage

Abstract

fetched live from OpenAlex

The scoping study of the biophysical and economical impacts for the proposed 500 kV transmission line between Alberta and British Columbia presents the identification of the most relevant potential environmental impacts that could be produced as a result of the execution of the transmission line project. International, national and provincial guidelines and manual have been used in order to enforce the best practice of scoping for the proposed project. This Masters Degree Project (MDP) is aimed to provide to the affected and interested parties with a preliminary assessment of the most important biophysical and economical impacts that could result from the construction of a 500 kV –AC interprovincial transmission line between Alberta and British Columbia (BC) as proposed by the Alberta Electric System Operator (AESO) on its 2009 Long-Term Transmission Plan. This document will present relevant information for a sound decision-making process within the provincial environmental agencies, and for the future benefit of the final and official environmental impact assessment. This MDP should not be considered as an official scoping study of the proposed transmission project, as the author is not a registered environmental consultant, and has been prepared for educational purposes only.

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)0.009
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.207
Threshold uncertainty score0.416

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0090.013
Science and technology studies0.0040.001
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.009
GPT teacher head0.200
Teacher spread0.192 · 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 designObservational
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
Published2010
Admission routes1
Has abstractyes

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