Longevity of Optical Disc Media: Accelerated Ageing Predictions and Natural Ageing Data
Bibliographic record
Abstract
Abstract A considerable amount of uncertainty exists with respect to the lifetimes of optical disc media. In reports found in the literature, longevity for some discs is stated as less than five years, but for others, it can exceed one hundred years. The variability in the lifetime values has created a general distrust for optical discs as a reliable short or long-term storage option for information. This study was undertaken to provide some clarification about the uncertainty surrounding optical disc longevity. Using the European Computer Manufacturers Association standard ECMA-396, a recordable CD and a recordable DVD were subjected to a variety of elevated temperature and relative humidity conditions over several months. Eyring and Arrhenius predictive methods allowed longevity estimations to be made. It was found that the Arrhenius method produced realistic lifetime predictions for the recordable CD, but neither method produced reasonable figures for the recordable DVD. In addition, an analysis of naturally aged optical discs (up to seventeen years old) provided valuable data on disc lifetimes. This data also helped to validate the Arrhenius results for the recordable CD tested, but contradicted the long and unreasonable lifetime values predicted for the recordable DVD.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 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".