Study on the Preparation Method of Fluorescent Rock Thin Sections Made from Non-fluorescent Materials
Bibliographic record
Abstract
Abstract Canadian gum, epoxy resin, and emery are used in the production of general rock thin section materials. These materials have fluorescence, so it is not possible to make fluorescent thin sections. The use of other colloids or transparency is not good, because the use of abrasive emery will also lead to the specimen having fluorescence, which cannot be selected. At present, 502 is usually used to make fluorescent sheet adhesive in China, but the colloid is soluble in water and the colloid is not impact-resistant. During sample preparation, it cannot be used for a long time by water grinding, only dry grinding or oil grinding. The samples of water grinding are susceptible to moisture and scratches, so the rock sheet cannot be preserved for a long time, which seriously affects the efficiency and quality of production. In recent years, the team has come up with a variety of materials and methods to make fluorescent rock-thin sections through repeated trials and achieved good results.
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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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".