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Record W6948125439 · doi:10.4224/20377907

Development of Micro Combined Heat and Power Technology Assessment Capability at the Canadian Centre for Housing Technology

2003· report· en· W6948125439 on OpenAlexfundvenueaboutno aff

Bibliographic record

VenueNPARC · 2003
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
FundersHydro-Québec
KeywordsElectricityDocumentationCorporationMains electricityUnit (ring theory)Key (lock)Technology assessmentAdaptation (eye)

Abstract

fetched live from OpenAlex

In 2003, Natural Resources Canada, National Research Council Canada, and Canada Mortgage and Housing Corporation developed and demonstrated a test facility at the Canadian Centre for Housing Technology (CCHT) which incorporated the capability of assessing residential micro combined heat and power (CHP) systems under real-world conditions. The intent of the project was to adapt one of two existing research houses at CCHT to integrate a prototype CHP unit that would provide some electricity and heat to the house, and supply surplus electricity back to the grid. Documentation of the adaptation and CHP operation, including building integration issues and CHP performance characteristics, were key objectives, with the intent of providing valuable information to CHP manufacturers and researchers alike.

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)0.003
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 score0.282
Threshold uncertainty score0.568

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.020
GPT teacher head0.285
Teacher spread0.265 · 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

Citations2
Published2003
Admission routes3
Has abstractyes

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