Gemological Abstracts
Bibliographic record
Abstract
The degree of crystallinity (i.e., crystallite size) of agates from 11 locations on five continents was determined by powder Xray diffraction analysis.These agates formed within vesicles (gas cavities) in volcanic rocks; the ages of these rocks were obtained from the literature.The author found a strong correlation between agate crystallinity and age of the host rocks.Over geologic time, ageing allows the crystallite size to increase.Accordingly, the determination of agate crystallite size should allow an estimation of the approximate age of the host rock, which can be used to differentiate known agate deposits (since each has a unique age).The same correlation was deduced between agate density and age of the host rock.These conclusions have several potential applications.For example, an agate "artifact" purchased in Idar-Oberstein was shown most likely to have originated from Brazil rather than Germany on the basis of its degree of crystallinity and density.However, for this technique to become an accepted gemological tool, a large database with crystallinity and age data for volcanic agates and their associated host rocks, from many localities worldwide, must be developed.This method is not currently applicable to agates occurring in sedimentary rocks. KAMBright prospects for pearl culture in India! A. K. Sonkar, Infofish International, January 2003, pp.13-16.In southern India, two species of freshwater mollusk (Lamellidens marginalis and L. corrianus) that commonly occur together in lakes and ponds are suitable for the production of spherical cultured pearls.In the Indian Ocean, the Andaman Gemological
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.200 | 0.036 |
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".