Evaluating the Ethanol Levels and Storage Containers for Efficient Preservation of Historical Collections at the Museo De La Salle, Bogotá, Colombia
Bibliographic record
Abstract
Abstract The Museo de La Salle–Bogotá (MLS) houses biological specimens of which 30% (17,001 specimens) are stored in fluid (ethanol 70%). The collections have historical significance for documenting Colombian biodiversity and contain the oldest zoological specimens in the country. For these reasons, the curation and management of the specimens require special attention and endless vigilance. In this study we assessed the decrease in ethanol level in jars of the MLS fluid collections over a 3-year period from 2013 to 2016 and evaluated the relation between container and lid type and ethanol loss. We did not observe a relevant decrease in the percentage of ethanol levels during 2013–2016. However, the type of lid used influenced the amount of ethanol that evaporated; we found that the pressure and twist lids were more effective in maintaining the ethanol levels in the containers, since they have a pressurized rotation system that allows a more secure closure in contrast to the pressure cap, which does not prevent the evaporation of ethanol. Based on our evaluation, we suggest the use of pressure and twist closure caps or caps with a continuous thread closure type along with a tamper-evident seal between the jar mouth and the container cap to ensure a tight and secure seal for minimizing the risk of fluid loss and ensuring the preservation of fluid-fixed specimens of this historical collection.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".