To what extent do thermo physical properties of a metallurgical reactor affect the performance of a virtual sensor used for predicting the ledge profile?
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Bibliographic record
Abstract
A non-invasive virtual sensor is employed for the inverse prediction of the time-varying ledge profile that forms inside high-temperature metallurgical reactors filled with a load of phase change material (PCM). The virtual sensor is tested for thermo physical properties of the vessel wall and of the PCM that fall outside the range for which it was originally designed. The results are analyzed and presented in terms of the shift of key thermo physical properties from the reference case. Results indicate that the virtual sensor is more sensitive to the variation of the properties of the phase change material than that of the vessel walls. The virtual sensor response remains accurate for reactor loads of high thermal inertia. The virtual sensor may still be used for reactor loads of low thermal inertia provided that thermo physical properties of the PCM are well-known.
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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 | 0.001 | 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 it