Performance Support System for$hbox I^125$Monitoring in the McMaster University Nuclear Reactor
Bibliographic record
Abstract
The purpose of this paper is to present a design methodology that can be employed to develop computerized radiation monitoring systems for technology insertion into non-computerized human-machine systems. The methodology seeks to hybridize and exploit the benefits of several diverse disciplines including nuclear engineering, computer science, health physics, real-time system design, human-machine interaction, computer-human interface, and software engineering, in the realization of a Performance Support System (PSS). The focus for combining these disciplines is on the implementation of a specific application: The Iodine Monitoring and Advising System (IMAS), a computerized embedded system for the MNR (McMaster Nuclear Reactor) I <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">125</sup> production facility. IMAS uses radiation monitoring techniques and human factor concepts to provide nuclear reactor operators with a computerized monitoring alarm facility. The migration from a crude and inflexible spill detector to an intelligent performance support system is documented
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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".