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Record W2393943578

Research on environment and weathering crusts in loess of Chang′an area

2000· article· en· W2393943578 on OpenAlexaff
Zhao Jing

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicRemote Sensing and Land Use
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsWeatheringLoessGeologyPaleosolPrecipitationGeochemistryEluviumLoess plateauGeomorphologyEarth sciencePhysical geographySoil scienceGeography
DOInot available

Abstract

fetched live from OpenAlex

In the south of Chang′an county, three periods′ weathering crusts are identified in the section of the loess which was formed in the past 0.78 Ma. They are composed of the 1st, 4th and 5th layer paleosds and the weathering has loosened loess and their thickness are between 3 meters and 6 meters. Weathering crusts of which the sections are made up of 3 or 4 layers are the clay type composed of illite, smectite and ancudite. The mean annual precipitation ranges from 950 mm to 1 000 mm during the period of development, which shows the climate events of rich precipitation on the Loess Plateau. The development of weathering crusts proves that some paleosols in the loess belongs to the eluvial mor, and the subtropical climate in Liuhe area of Jiangsu migrates to the southeast of the Loess Plateau at that time.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.911
Threshold uncertainty score0.997

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.070
GPT teacher head0.278
Teacher spread0.208 · 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.

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

Citations0
Published2000
Admission routes1
Has abstractyes

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