Mineral accumulations induced by biological activity on granitic rocks in Qinghai Plateau, China
Bibliographic record
Abstract
Abstract Fragments of weathered granitic rocks from the Kunlun Shan, Qinghai Plateau (China) were investigated to elucidate the influence of biotic crusts on the breakdown of granitic rocks in an alpine environment. Scanning electron microscopy with energy dispersive system and X‐ray diffractometry were used to describe the nature and properties of mineral accumulations on the rock surface. Results showed that organic salts such as calcium oxalate and calcium formate are associated with Aspicilia caesiocinera (Nyl.ex Malbr.) Arnold, Caloplaca sp., Xanthoria elegans (Link) Th.Fr., and Lecidea plana (Lahm) Nyl. Secondary accumulations of 2 : 1 clays minerals are found in A. caesiocinera while oxides of manganese are associated with X. elegans . Coatings of goethite (iron oxides) are believed to form from biological activity associated with the presence of hyphae and rodlet structures on the flakes. Calcium oxalate crystallizes into several morphologies such as druse, hexagonal plates, and lenticular containing between 20 and 48 per cent calcium by weight. Calcium formate and iron oxide (goethite) occur together in the form of ‘red’ desert varnish. Observed ‘black’ coatings contain as much as 37 per cent manganese and 22 per cent iron. Clay accumulations have plate‐like morphology and contain c . 2 : 1 silicon to aluminium contents. We argue that organic acids from the activities of biotic crusts contribute to the breakdown of granitic rocks. Fungi accelerate the breakdown of granitic rocks through the growth of fungal hyphae along the 001 cleavage planes in primary chloritic minerals. Copyright © 2003 John Wiley & Sons, Ltd.
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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 | 0.002 | 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) | 0.000 | 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".