Optical anomaly in near-end-member grossular garnet from the Jeffrey mine, Asbestos, Quebec, Canada
Bibliographic record
Abstract
The optical anomalies, surface and lamellar textures of a birefringent grossular garnet crystal from the Jeffrey mine Canada have been investigated by optical polarizing microscope, electron-probe micro-analyzer (EPMA) and infrared spectrometer from the stand point of crystal growth. This grossular shows one-to-one correlation between surface features and its internal textures. The average chemical composition measured by EPMA is Grs97.4Alm1.2Sps1.2Pyr0.1 as a near-end-member grossular. The surface features correspond to the internal textures observed under crossed polarizers. Two growth hillocks with regular growth steps elongated parallel to [001] vertical direction of the (110) face, produce sectoral twins. Such growth steps indicate the orthorhombic symmetry of the crystal correlated with the growth direction. Some irregular or curved growth steps appearing as lamellae in (110) thin section are parallel to the sides of (110) face but inclined to the [001] growth direction; this suggests the monoclinic symmetry. The crystal is optically biaxial (+) and its 2Vx angle being close to 90° could not be measured. Infrared spectroscopy data revealed the presence of [(OH)4] group substitution at [SiO4], the tetrahedral site. Optical birefringence of the grossular is about 0.002. Back-scattered electron imaging could not detect any zonation and compositional differences of the lamellar texture.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".