En route to a practical ring-resonator thermometer with an uncertainty of 1 mK
Bibliographic record
Abstract
Silicon Ring Resonators (RR) are currently being assessed by several national metrology organizations as thermometers for use in calibration laboratories and in high-accuracy commercial applications. In this paper, we summarize the results of one such assessment carried out at the National Research Council of Canada (NRC). The prototype of silicon RR thermometer (developed at NRC) was evaluated in the stirred liquid bath between 23 °C and 80 °C over the period of several years in order to get the full uncertainty budget. The combined 10-mK standard uncertainty for our RR thermometer is not only identical to the repeatability reported previously for an unpackaged RR but it also includes a contribution due to long-term drift of RR thermometer estimated over two consecutive 11-month periods. We also report the results of our on-going efforts to reduce the long-term drift by using the controlled gas atmosphere inside RR thermometer and discuss the ultimate accuracy achievable with our current setup.
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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".