Effect of changing hot-wire temperature on SEA Ice Crystal Detector
Bibliographic record
Abstract
The Science Engineering and Associates (SEA) Ice Crystal Detector (ICD) is an aircraft mounted hot-wire probe used to measure the bulk water content of clouds. The probe uses two wires, in concave and convex elements, which are heated to a constant temperature and evaporate cloud hydrometeors on contact. Generally, these wires are heated to 140◦C and the impact of other temperature settings has not previously been investigated. This work reports on tests performed at the National Research Council’s Altitude Icing Wind Tunnel in order to investigate how the probe measurements differ when the wire set temperature is varied from 20◦C to 160◦C, depending on the ambient conditions. It was found that the probe is able to operate with wire temperatures ranging from 80◦C to 160◦C. However, the calculated power loss due to convection must be modified in order to account for the temperature of the deicing heater on the probe. Since the deicing element is larger than the hot-wires, it requires more time to heat up to its set temperature of 50◦C, which was not considered in this study. It is recommended that measurements with the ICD include a plan to mitigate the impact of the deicing element.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".