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Record W2062726226 · doi:10.1071/sr11087

Micromorphology of sepiolite occurrences in recent lacustrine deposits affected by soil development

2011· article· en· W2062726226 on OpenAlexaff
Florias Mees, Éric Van Ranst

Bibliographic record

VenueSoil Research · 2011
Typearticle
Languageen
FieldMaterials Science
TopicClay minerals and soil interactions
Canadian institutionsTheMuseum
Fundersnot available
KeywordsSepioliteAuthigenicGeologyCarbonatePalygorskiteClay mineralsMineralogyGeochemistrySedimentary rockChemistry

Abstract

fetched live from OpenAlex

Deposits in dry lake basins of the Aminuis region, south-western Kalahari, Namibia, contain abundant sepiolite. Thin-section observations show that it occurs as part of the groundmass, for which an authigenic origin is implied by the lack of a source for detrital sepiolite. The deposits also contain common sepiolite coatings, which are nearly exclusively illuvial rather than the result of mineral authigenesis in pores. Other sepiolitic pedofeatures are: (i) carbonate depletion hypocoatings, locally disturbed by development of porostriation; (ii) surface crusts, formed by re-suspension and settling of fine material after flooding, occurring at sites where low salinity allows their preservation; and (iii) common fragments of coatings, produced by physical or biogenic disturbance, in deposits with an often strongly fragmented microstructure. This study illustrates the need to consider an illuvial or depletion-related nature of sepiolite and palygorskite occurrences along pores in soils, as an alternative for the possibility of clay neoformation.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.170
GPT teacher head0.382
Teacher spread0.212 · 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 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

Citations8
Published2011
Admission routes1
Has abstractyes

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