Accuracy in temperature sensor response time estimation for new nuclear reactor designs
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
One method for measuring the response time of temperature sensors, the plunge test, verifies that the sensor has a suitable response time in the laboratory before installation. However, plunge test results cannot be extrapolated to the response time in an operating plant because response time is affected by multiple factors such as the ratio of internal heat-transfer resistance to the surface heat-transfer resistance, or Biot Modulus. The estimation method presented here can be used to extrapolate laboratory response-time measurements to determine sensor response time in another medium, in different test conditions, or in actual applications such as a nuclear power plant. However, experiments conducted at Oak Ridge National Laboratory have confirmed that the effect of temperature on sensor response time cannot be estimated confidently in an operating environment. Therefore, the loop current step response (LCSR) method was developed to measure the actual in-service response time of nuclear plant temperature sensors.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it