Experimental procedure and uncertainty analysis of a guarded hot box method to determine the thermal transmission coefficient of skylights and sloped glazing
Bibliographic record
Abstract
A laboratory test procedure and a guarded hot box facility used to determine the thermal transmission coefficient of skylights are described. Skylights can be tested at an angle of inclination that can be varied from 20 degrees to 90 degrees off the horizontal. The experimental procedure, to determine the skylight R-value, is based on a correlation for the convective heat transfer on the warm side and the weather side of the test specimen. This correlation is obtained from calibration measurements using a calibrated transfer standard (CTS) in the inclined position. The results show that the convective heat transfer along an inclined CTS is substantially different from that along a vertical CTS. Three-dimensional simulations of the conductive heat transfer within the CTS assembly are found to be in good agreement with the experimental results. A complete uncertainty analysis for the calibration experiments and for skylight testing is presented. It is found that the experimental relative uncertainty associated with the thermal transmission coefficient of the test specimen without the frame is of the order of 6%.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".