Spatial and temporal variations in karst solution rates: the structure of variability
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.
Bibliographic record
Abstract
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.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it