A CALCULATION METHOD FOR PREDICTING HEAT DETECTOR'S RESPONSE
Why this work is in the frame
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Bibliographic record
Abstract
Utilizing a zone model and a ceiling-jet model, a simple calculation method for predicting heat detector's response is presented. The parameters are the floor area and the ceiling height of the room, the radial distance of the detector from the fire axes, time history of the heat release rate of the fire, and the response characteristics of the detector. Application of the RTI-C model is discussed and a method utilizing two RTI's, one for the sensor element and the other for the detector body, is introduced. The method using two RTI's shows better results than the original RTI-C model, which is derived for predicting the response of sprinkler heads. In addition, a calculation method for predicting the response of rate-of-rise heat detector is presented. Overall performance of the prediction method is tested with experiments.
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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 | 0.000 |
| 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