Fingerprinting TCE Sources in a Sedimentary Bedrock Aquifer using Compound Specific Isotope Analysis
Bibliographic record
Abstract
Chlorinated volatile organic compounds were detected in an industrial facility in the upper part of the underlying sedimentary fractured bedrock aquifer. Several monitoring wells installed at the site were sampled for VOC’s, inorganic parameters and Compound Specific Isotope Analysis (CSIA). A deep municipal well, located approximately 500 meters southwest from the investigated site, was also included in this study. VOC’s were detected in this well and neither the City nor the Ministry of the Environment of the Province of Ontario (MOE) has been able to determine the origin of these compounds. Groundwater for VOC’s analysis and CSIA were therefore collected in the municipal well in order to evaluate the relationship between the Trichloroethene (TCE) detected in the municipal welland the TCE plume detected in the nearby industrial facility. The δ13C values of TCE obtained in groundwater from the monitoring wells were 12 ‰ more depleted than δ13C values obtained for the deep production well. These data and the VOC’s compositionindicate that there is no relationship between the TCE plume at the site and the TCE present in the water of the municipal well, suggesting that other potential regional TCE sources are likely to be present in the 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".