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Record W2046121527 · doi:10.1029/2006eo450006

Recent progress in Aeolian research

2006· article· en· W2046121527 on OpenAlexaff
Nicholas Lancaster, John A. Gillies, W. G. Nickling

Bibliographic record

VenueEos · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAeolian processes and effects
Canadian institutionsUniversity of Guelph
FundersIndian Council of Agricultural Research
KeywordsAeolian processesLoessGeologyMars Exploration ProgramEarth scienceAridSediment transportDeposition (geology)Titan (rocket family)QuaternaryErosionLandformGeomorphologyFluvialSedimentAstrobiologyPaleontology

Abstract

fetched live from OpenAlex

Aeolian processes‐involving erosion, transportation, and deposition of sediment by wind‐occur in a variety of environments including coastal areas, semiarid and arid regions, and agricultural fields. Aeolian processes also occur on some planetary bodies, notably Mars and possibly Venus and on Saturn's moon Titan. Aeolian processes are responsible for the emission and/or mobilization of dust and the formation of areas of sand dunes. Fluctuations in the intensity and geographical extent of wind transport of sediments during the Quaternary have produced an important paleoclimatic record in loess deposits and areas of vegetationstabilized sand dunes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.007
Science and technology studies0.0010.001
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.031
GPT teacher head0.297
Teacher spread0.266 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2006
Admission routes1
Has abstractyes

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