On-Board Hypochlorite Generation for Biofouling Control
Bibliographic record
Abstract
Abstract Biofouling within the cooling water systems of ships can be serious enough to cause immobilization. Marine growth on pipes also promotes crevice corrosion. In seawater, blue mussels are the predominate species that cause biofouling. A biofouling test system was constructed at the Dockyard Laboratory in Halifax, Nova Scotia by the Defense Research Establishment Atlantic. Seawater from the Halifax harbor continuously flowed through pipe networks that were designed to simulate the cooling water piping on a ship. Three commercial chemical injection systems were tested simultaneously, namely copper, iodine and hypochlorite. Personnel from the Bedford Institute of Oceanography assessed the biological effectiveness of each system by observing adult mussels one at a time in a beaker of treated water. These tests revealed a wide range of effectiveness between these chemicals in preventing mussel attachment. Each injection system was better than no treatment at all. As designed and operated, the copper and iodine release systems were only modestly effective whereas the hypochlorite system was completely effective in preventing mussel attachment. Observations of the piping after several months of flow-through operation were consistent with the biological tests with treated water. The process engineering for installing a hypochlorite system on a ship is described.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".