Iron mineralogy characteristics of the desert sediments of the Tarim Basin and its provenance implications
Bibliographic record
Abstract
The vast desert area of the Tarim Basin contains a large amount of loose sediment, and consequently, it is one of the most important sources of aeolian dust in the mid-latitudes of the Northern Hemisphere. However, only limited research has been undertaken on the provenance of the desert sediments. In this study, we investigated the iron mineralogy including magnetic (Mt), hematite (Hm), and goethite (Gt) characteristics of desert sediments from the Tarim Basin and used them to determine their provenance. The results show that the sediments are characterized by a high content of Gt that comprises up to 0.16, 0.45, and 0.99 wt.% of the 31–63, 8–31, and 2–8 μm fractions, respectively. In contrast to Hm and Mt, Gt is significantly enriched in the fine particle size fraction. Consequently, we propose that the desert sediments originate in a cold and humid environment, which favors the formation of Gt and limits the formation of Mt and Hm. The surrounding high mountains appear to be the only location within this vast region with the climatic conditions favoring Gt formation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 teacher head, 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".