Newly devised glycerol-mounted permanent slide preparation for dissected specimens of micro-crustaceans
Bibliographic record
Abstract
High-concentration pure glycerol has been used as a medium for permanent preservation of micro-crustacean specimens. However, glycerol-mounted permanent slide preparations are rare because of the difficulty in sealing the coverslip over the long term. I devised a glycerol-mounted permanent preparation method, especially for a small dissected piece of a micro-crustacean using a glass depression slide and a coverslip with secure sealing, in order to overcome some of the disadvantages of the popular permanent mountants that solidify, such as discoloration of specimens and difficulty in remounting. Unique characteristics of the preparation method are: (1) the central glycerol being of a few millimeters in diameter, which embeds the specimen and is retained in the depression center by a paraffin wax circle painted on the depression bottom; (2) the marginal glycerol, which fills up the clearance between the glass slide and the coverslip and prevents intrusion of the sealant into the clearance; (3) sealing with nail polish first and Canada balsam second, where the latter can seal securely over the long term and the former, being a fast-drying sealant, prevents intrusion of the latter into the marginal glycerol. By following this method, even a small dissected piece can be easily found under a microscope and taken out from the preparation for detailed examination with a low risk of going missing. The procedure to make the preparation is presented in detail.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".