Plasma Arc Waste Destruction System (PAWDS) A Novel Approach to Waste Elimination Aboard Ships
Bibliographic record
Abstract
Abstract The Plasma Arc Waste Destruction System (PAWDS) uses plasma energy, with temperatures over 5,000oC, to rapidly and efficiently destroy combustible waste aboard ships. PAWDS has proven itself to be a viable alternative to traditional incinerators. » In September 2003, Carnival Cruise Lines were the first to install a PAWDS aboard their 2,056 passenger (plus 1,000 crew members) capacity, M/S Fantasy cruise ship, to treat ship waste including paper, cardboard, plastics, textiles, wood, and food. As of June 2004, it is being operated and maintained solely by Carnival Cruise Lines personnel and has been permitted to operate in port by the Bahamian port authorities. » The Navy's next generation aircraft carrier, CVN 21, will be equipped with two PAWDS to process all of the non‐food combustible solid waste generated with sufficient system redundancy. The US Navy has been jointly developing the PAWDS with PyroGenesis Inc. over the last 6 years. The development efforts in 2004 and 2005 coupled with lessons learned from operation aboard Carnival's cruise ship have resulted in the identification of additional process and design improvements. Source emission testing by an independent laboratory has also demonstrated that the PAWDS easily meets IMO MARPOL requirements for the destruction of solid waste.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".