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Record W7099609468

1 AIRFLOW AND HEAT TRANSFER MEASUREMENTS NEAR A FAÇADE WITH DIFFERENT HEATING CONFIGURATIONS

2007· article· en· W7099609468 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsAirflowThermocoupleHeat transferParticle image velocimetryCeiling (cloud)PerpendicularTemperature measurementTraverseThermalVertical plane
DOInot available

Abstract

fetched live from OpenAlex

This paper presents the experimental results of temperature and air velocity field measurements near a glazed façade located in a test chamber at the Hydro-Quebec (LTE) research laboratory in Shawinigan, Quebec. The façade separates a cold room from a warm room (at normal conditions), both controlled. The objective of the experiment was to examine the air movement and heat transfer near the windows with and without shading and with different perimeter heating configurations (for winter conditions). The chamber is equipped with three types of heating systems: electrically heated windows, a baseboard heater and a radiant ceiling panel. 2-D velocity field measurements were performed on a 15cm×11cm vertical plane perpendicular to the window surface using a Particle Image Velocimetry (PIV) system. A 2-D motorized traverse system was used to allow measurements at different heights, closer or further away from the façade. The thermal stratification in the room was monitored using a grid of thermocouples at different heights and distances from the facade. The general objective of this work is to develop design recommendations for high performance facades that will reduce or eliminate perimeter heating in buildings as a secondary heating system.

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.226
Teacher spread0.197 · 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
Published2007
Admission routes1
Has abstractyes

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