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Record W3033657641 · doi:10.4324/9780429297977-7

Spatial and temporal variations in karst solution rates: the structure of variability

2020· book-chapter· en· W3033657641 on OpenAlexaboutno aff
Derek Ford, John J. Drake

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicKarst Systems and Hydrogeology
Canadian institutionsnot available
Fundersnot available
KeywordsKarstSpatial variabilityGeographyGeologyPhysical geographyArchaeologyMathematicsStatistics

Abstract

fetched live from OpenAlex

In this chapter, the authors discuss features of limestone solution data sets at the local, basin and global scales. But before doing so, they introduce a new feature into analytical reviews of this kind by considering the converse of limestone solution, i.e. calcite precipitation that occurs at sites within the karst cascading system or basin. Spatial and temporal variations in erosion rates within a metastable phase are greatly dependent upon the space- and timescales considered. At the microscopic scale, the rates of solution of the various shell fragments in a magnesian calcite are different, depending upon their particular mineralogy. Karst erosion rates can only be estimated at particular scales of area and time, and they may be estimated directly or indirectly. Even within Canada, annual runoff in karst regions varies from over 3000 mm in parts of Vancouver Island to less than 25 mm in southern Alberta – a factor of 120.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.199
Teacher spread0.185 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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