Bibliographic record
Abstract
Waters was project manager responsible for the design, specification and prototype manufacture of the PSS® Merlin™ control panel for Dräeger Safety Europe. The control panel used advanced radio telemetry and incorporated a control board, signalling device and portable radio unit, allowing the Fire Entry Control Officer to monitor the status of up to 12 individual team members simultaneously, from outside the incident. The device is an electronic breathing apparatus control system, incorporating state of the art data radio technology; and including a pressure gauge, temperature monitor, low air warning system, alarm, and signalling device. It was the world’s first fully automatic control system of its kind, offering a level of monitoring and protection previously unavailable. The control board is a battery-operated, self-contained unit and had to be carefully designed to withstand the extreme demands of the Fire Service. Waters expertise in developing electro-mechanical products and his ability to enable contributors’ from different design disciplines to collaborate on a joint project facilitated the successful development of the product. Waters subsequently translated the process knowledge with respect to multinational product development and manufacturing organisations for the benefit of supply chain North East SMEs in terms of the development of their own branded products and OEM component business opportunities. This advocacy and research resulted in strategic input to the InSTeP and CMI ERDF projects for medical product development for North East England SMEs. The PSS® Merlin has been presented in papers at conferences around the world, including the British Council Exhibition, Tokyo, 2003, New Zealand Oil and Gas Conference, New Zealand, CAFC, Niagra Falls, Ontario CA: Interprotex, Zagreb, Croatia: Asia Pacific Occupational Safety & Health Organisation (APOSH3) Conference, Singapore and NSC: National Safety Congress, Chicago, Illinois, USA.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.412 | 0.274 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".