UNIVERSITY OF EDINBURGH, SCOTLAND
Bibliographic record
Abstract
Here we report noble gas and carbon stable isotope measurements from four groundwater wells surrounding the Kerr quarter, near Goodwater in Saskatchewan. These are compared to the noble gas and carbon isotope compositions measured from fluids sampled from a production well, and CO2 and water sampled from Enhanced Oil Recovery (EOR) injection wells associated with the Weyburn oil field, located near the Kerr quarter. To determine if migration of dissolved CO2 from the Weyburn oil field is responsible for the alleged CO2 anomaly measured in soil gases on the Kerr quarter and surrounding area, we compare the suite of noble gas and carbon stable isotope tracers in the water and CO2 injected deep into the oil field, with the fluids produced from the field and with the noble gases and carbon isotopes measured in the groundwater wells. “We find no evidence in any of the noble gas data within the groundwaters surrounding the Kerr quarter that there is a detectible presence of noble gases derived from the deep injected water or CO2 or the fluids produced from the Weyburn Field. The absence of crustal derived noble gases derived from depth means that there is no evidence of the migration of CO2 from the Weyburn oil field into the groundwater on the Kerr quarter or surrounding area.”
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.604 | 0.317 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".