Bibliographic record
Abstract
Abstract The most recent generation of optical disc media available is the Blu-ray format. Blu-rays offer significantly more storage capacity than compact discs (CDs) and digital versatile discs (DVDs) and thus are an attractive option for the storage of large image or audio and video files. However, uncertainty exists on the stability and longevity of Blu-ray discs and the literature does not contain much information on these topics. In this study, the stabilities of Blu-ray formats such as read-only movie discs as well as many different brands of recordable and erasable media were evaluated. Testing involved the exposure of samples to conditions of 80 °C and 85 % relative humidity for intervals up to 84 days. Overall, the stability of the Blu-ray formats was poor with many discs significantly degraded after only 21 days of accelerated ageing. In addition to large increases in error rates, many discs showed easily identifiable visible degradation in several different forms. In a comparison with other optical disc formats examined previously, Blu-ray stability ranked very low. Other data from the study indicated that recording Blu-ray media with low initial error rates is challenging for some brands at this time, which is a factor that ultimately affects longevity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".