Polychlorinated Naphthalene Contamination of Some Recently Manufactured Industrial Products and Commercial Goods in Japan
Bibliographic record
Abstract
A follow-up case study was performed after two incidents of recent illegal import and use in Japan both of technical PCNs mixture and contaminated with those compounds an industrial raw material. In case 1, above 18 tons of PCNs mixture, resembling Halowax 1001, which is a technical PCNs formulation, were imported from the United Kingdom. An illegally imported PCNs mixture was used for manufacture of a wide spectrum of industrial materials and commercial goods including sealants, putty, shock absorbing materials, adhesive materials, insulating materials and rubber belts. About 1.3 tons of PCNs contained in the Neoprene FB manufactured reached domestic market and 9.3 tons could reach other markets. In case 2, which became known in 2001, the Japanese company imported from Canada 54 tons of PCNs contaminated raw rubber material for industrial use. In weathering test (40 degrees C for up to 168 h) of the feral rubber coated sheets for rubber bands 98% of di- and 66% of tri-CNs vaporized. A loss rate of tetra-, penta-, and hexa-CN during initial 12 h of the weathering test ranged from approximately 10 to approximately 20%, while from 12 to 168 h remained negligible.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".