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Record W4406330576 · doi:10.1080/10916466.2025.2450065

Enrichment characteristics of organic matter in faulted lake basin reflected by major and trace elements

2025· article· en· W4406330576 on OpenAlexaff
Zhang Wan, Xiaoyan Fu, Yulei Shi, Liuping Deng, Yanyue Li, Ranran Zhou

Bibliographic record

VenuePetroleum Science and Technology · 2025
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsTRACE (psycholinguistics)Organic matterEnvironmental scienceStructural basinGeologyEnvironmental chemistryMineralogyGeochemistryHydrology (agriculture)Soil scienceChemistryGeomorphologyGeotechnical engineering

Abstract

fetched live from OpenAlex

The study centered on the Guyang Formation source rock in the Linhe depression of the Hetao Basin, which is an area of faulted lacustrine basins with limited exploration and development. This research aimed to tackle fundamental scientific matters related to the sedimentary environment. By determination the total organic carbon content, using GC-MS, and analyzing major elements and trace elements, the following conclusions were reached. (1) The lithology of the Guyang Formation in the study area is predominantly mudstone, and the core color in the south is darker than that in the north, signifying that the sedimentary environment had changed at that time. (2) These phenomena are also corroborated by element features. In the south, it is mainly an arid and saltwater environment, while in the north, the water salinity is relatively low. (3) As there are fewer organisms in an arid and hot climate, the consumption of organic matter is also less. The high paleoproductivity supplemented the organic matter. Thus, these two factors are the main controlling ones for organic matter enrichment in the study area. This research has conducted a new study on organic matter enrichment in the Hetao Basin.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.357
Threshold uncertainty score0.290

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
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 head0.003
GPT teacher head0.222
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 designBench or experimental
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

Citations0
Published2025
Admission routes1
Has abstractyes

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