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Record W4394861914 · doi:10.26502/ami.936500159

Directional Winds in Holocene Create Unique Landforms and Large-Scale Dusty Haze days in the East of China

2024· article· en· W4394861914 on OpenAlexaboutno aff
Yongjian Ding, Hw Lu

Bibliographic record

VenueArchives of Microbiology & Immunology · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAeolian processes and effects
Canadian institutionsnot available
Fundersnot available
KeywordsLandformHoloceneHazeChinaGeologyScale (ratio)Physical geographyGeographyClimatologyGeomorphologyMeteorologyOceanographyArchaeologyCartography

Abstract

fetched live from OpenAlex

Scientists have divided China into three stages from the West, with high altitudes 8,000 meters above sea level, to the East, under 500. The directional wind from West to East not only creates unique landforms such as continent tablemount, boat-shaped Yardang, and layer-fissured granite with geo-tourist value but also blows soils and dust to make a thick dust hood in the East, making it difficult for pollutants, car exhaust, and industrial gases to dissipate. Eastern China has become the most notorious worldwide with too many dust and haze days. The article points out that rock fragments and soils will eventually migrate to the East by directional winds and rivers, which is inevitable, but keeping moisture in the surface soil in the arid areas of the West will alleviate affections of dust and haze days for the East. Canada is one of the countries in the world naturally preserving its beauty by enacting laws that prohibit biodegradable leaves, crops, and branches from being garbage. Biodegradation is a simple way to improve the environment, and every Chinese person should learn and take action.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.266

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 head0.004
GPT teacher head0.192
Teacher spread0.188 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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