Widespread Occurrence of Aquifers Currently Undetectable With the MRS Technique in the Grenville Geological Province, Canada.
Bibliographic record
Abstract
Abstract In the summer of 2003, a series of field tests were made over aquifers within or next to the Grenville geological province, Canada. Twelve sites distributed within three general areas of the province and nearby to its southern border were surveyed with the MRS (Magnetic Resonance Sounding) technique. Each site was characterized by saturated shallow water bearing layers of high effective porosity. The tests were planned to evaluate the MRS technology in such environments for groundwater resources quantification and aquifer/aquitard media characterization. A priori, the environmental conditions in Eastern Canada were assumed favorable for MRS work such as low to moderate ambient noise, earth's field value above 55,000 nT, targets consisting of shallow and high porosity aquifers. Despite such conditions, no clear MRS responses were observed. Following supplementary investigations, this is now attributed to the wide-scale occurrence of disseminated magnetite within the aquifers which shorten the signal decay time. Although the lack of MRS response over aquifers has been reported before, this was not the case for such widespread occurrence. This also supports the adaptation of the MRS technology to conditions similar to those observed in the Grenville province.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".