A mass-flux method to estimate pollutants in groundwater
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Groundwater contamination is difficult to define and quantify. It may be easy or not to define who did the contamination and which contaminant was released, but it is hard to assess how much, where and when a contaminant was released. Second, concentrations fluctuate with space and time in groundwater. Third, it is difficult to assess the total mass of dissolved contaminant and the annual mass discharged into surface water or reaching pumping wells. These issues are documented with an example from Canada where the fluctuations in concentrations, over time and space, spanned four orders of magnitude within the plume. All data were examined using a quality control process, which examined all reasons for poor quality and revealed contradictory pieces of information and also poor procedures or field protocols for water sampling. An annual mass-flux method for the aquifer contaminants reaching a river was developed. It takes into account the contaminant concentration in the river and the dilution by the river water. This method helped to reconcile field and laboratory data for the mean concentrations in the plume and clarify the situation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.006 |
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 it