A hydrocarbon pipeline spill risk assessment framework for drinking water supply
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
Abstract Although infrequent, pipeline spills have the potential to contaminate source water supplies and disrupt drinking water production for extended periods. Detailed multiphase contaminant fate and transport models linked to hydrodynamic models are ideal for determining the potential impact of oil spills on drinking water sources. However, sufficient data are often unavailable to simulate spills scenarios. Thus, a simple semiquantitative modeling approach is proposed that is based on documented pipeline spills recorded in scientific literature. A risk matrix was used to combine the consequences of a spill with the probability that it would contaminate drinking water sources. The new Pipeline Spill Risk Assessment Framework was applied to 26 drinking water intakes located in the greater Montreal area (Quebec). The proposed framework allows for transparency and facilitation of public discussions with regard to oil spill risks and decision‐making for source water protection and water safety plans.
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 | 0.001 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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