Caesium- and sodium-filled pressure controlled heat pipe at NRC
Bibliographic record
Abstract
Abstract What if you could tune the temperature of the fixed point used to calibrate your thermometer continuously between the freezing points of zinc (692.677 K) and silver (1234.93 K) while maintaining the uniform temperature environment (±10 mK) along 20 cm zone for hours at a time and with an uncertainty approaching a fraction of a mK? We are aiming to do exactly that by using a set of caesium- and sodium-filled pressure controlled heat pipes previously established at NRC. The original pressure controlled heat pipe furnaces have been recommissioned with a number of changes to improve their function as a calibration by comparison apparatus. In particular, the new gas handling system capable of controlling the pressure within ±4 ppm was installed side by side with the previously reported one. In this paper, we show the temperature performance of legacy NRC caesium- and sodium-filled pressure controlled heat pipes when connected to the new gas handling system.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".