Replication Data for: Variable flow directions measured at discrete depths in a bedrock aquifer using multi-borehole Active Distributed Temperature Sensing
Bibliographic record
Abstract
Data collected at the Fractured Rock Observatory on the University of Guelph Campus in Guelph, Ontario, Canada. Temperature data is from boreholes GDC-06, GDC-07, GDC-08, and GDC-09 sealed with a flexible and impermeable liner during two Active-Distributed Temperature Sensing (A-DTS) tests. The first test (Sealed) was collected with all boreholes on the site sealed with liners to restore natural gradient conditions. The second test was collected when an open borehole in the centre of the borehole cluster, GDC-05, was pumped at a constant rate of 54 L/min. All A-DTS tests included 30 minutes of background temperature before heating, which was subtracted from the dataset at each depth to show temperature differences above ambient. The composite fibre optic cable was heated for a 10 h period with a power output of 7.12 W/m. The DTS used to measure the temperature was a Silixa ULTIMA S (1.8 km model). The hydraulic gradient data were calculated form head profiles collected in three boreholes around the periphery of the borehole cluster: GDC-04, GDC-10, and GDC-12. These data were collected using a string of RBRsoloD and RBRduetT.D. transducers, sealed in place with a flexible impermeable liner.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.009 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".