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Record W7096042970

CANADA’S CBIP VERSUS THE UNITED STATES ’ LEED™: BUILDING ENERGY PERFORMANCE PATH REQUIREMENTS

2011· article· en· W7096042970 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsASHRAE 90.1HVACEnergy (signal processing)Energy performanceAggregate (composite)Rating systemBuilding codePath (computing)
DOInot available

Abstract

fetched live from OpenAlex

LEED-Canada is launching a green building rating system based on the U.S. Leadership in Energy and Environmental Design (LEED™) rating system. As part of the system, it assessed the energy performance difference between Canada’s Model National Energy Code for Buildings (MNECB) and the ASHRAE/ IESNA Standard 90.1-1999 energy code (ASHRAE) to develop an equivalent localized rating system. A comprehensive review of the two energy standards and the development of dozens of DOE2 models were conducted to evaluate the differences. The models represented compliant reference cases for both respective standards for prototype building types and HVAC configurations across Canada. A comparison of the overall aggregate difference showed that ASHRAE is nearly 11 % more stringent than the MNECB. This paper provides an overview of the approach followed to determine the relative differences between the codes, as well as summary results from the analysis.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score0.980

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 head0.031
GPT teacher head0.221
Teacher spread0.190 · 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 designNot applicable
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
Published2011
Admission routes1
Has abstractyes

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