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Record W2892240099 · doi:10.1139/cjes-2018-0105

Iron mineralogy characteristics of the desert sediments of the Tarim Basin and its provenance implications

2018· article· en· W2892240099 on OpenAlexvenueno aff
Youjun Wang, Jia Jia, Hao Liu, Hao Lu, Caichen Lu, Dunsheng Xia

Bibliographic record

VenueCanadian Journal of Earth Sciences · 2018
Typearticle
Languageen
FieldEnergy
TopicIron oxide chemistry and applications
Canadian institutionsnot available
FundersFundamental Research Funds for the Central UniversitiesNational Natural Science Foundation of China
KeywordsProvenanceGeologyAeolian processesTarim basinHematiteDesert (philosophy)GeochemistrySedimentStructural basinMineralogyGeomorphology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.564
Threshold uncertainty score0.562

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.238
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2018
Admission routes1
Has abstractyes

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