Vulnérabilité à la nappe des aquifères fracturés du sud-ouest du Québec : évaluation par les méthodes DRASTIC et GOD
Bibliographic record
Abstract
This study presents an assessment of the vulnerability of regional aquifers as part of the Geological Survey of Canada project of characterization of fractured-rock aquifers in southwestern Quebec. Vulnerability assessment uses the physical properties of the setting to evaluate the sensitivity of groundwater to all types of pollutants introduced from the ground surface. Two methods, DRASTIC and GOD, were used for comparison purposes. Results indicate that the DRASTIC method yields a more detailed assessment. This method shows the higher vulnerability areas as coinciding with recharge zones in the northern, northwestern and southeastern parts of the study area, with the lower vulnerability areas located where clay cover is significant. When theGODmethod is used, the entire study area appears to have moderate vulnerability, which is not an adequate representation of the region.
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How this classification was reachedexpand
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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".