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Record W2940758724 · doi:10.19189/001c.128360

Spring Mires Fed by Hot Artesian Water in Kruger National Park, South Africa

2010· article· en· W2940758724 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMires and Peat · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsUniversity of Waterloo
FundersSouth African National Parks
KeywordsSpring (device)Artesian aquiferHot springNational parkWetlandHydrology (agriculture)Environmental scienceGeologyEcologyGroundwaterBiologyAquiferGeotechnical engineering

Abstract

fetched live from OpenAlex

This article describes two spring mire complexes in the Kruger National Park (South Africa) that are fed by thermal water with a temperature of 37–42°C. The mires are small (1–20 m in diameter). The peat thickness is 1–2.5 m, of which 1–1.5 m is elevated above the surroundings. Some of the domes have dried out severely and show signs of erosion due to water flow and trampling by large animals. The mires lie in an almost straight line, supporting the hypothesis that the water originates from deep aquifers which discharge at geological faults. The long-term existence of these spring mire complexes may not be threatened because young stages of mire formation are present, but research to elucidate the timescales of peat development is needed to make a valid prognosis.

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.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.999

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)0.0020.000

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 head0.008
GPT teacher head0.200
Teacher spread0.192 · 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