Forensic Misidentification of Aroclor Sources in Fractured Bedrock Due to “Chromatographic” Polychlorinated Biphenyl (PCB) Congener Separation
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 The effect of matrix diffusion subject to differential sorption on the potential for Aroclor source identification and quantification in a fractured bedrock environment is examined. Due to sorption, transport is seen to occur at greatly different rates for the various congeners, causing rapid changes in polychlorinated biphenyl (PCB) plume composition during migration. This article provides a rigorous method for optimally fitting PCB groundwater sample concentrations as a linear combination of known Aroclors. It then demonstrates, via transport simulations in fractured sandstone with realistic properties, that correctly determining the Aroclors comprising a PCB source through optimally “fingerprinting” groundwater samples obtained even a few meters downgradient is not generally possible Keywords: chemical fingerprintingdifferential sorptionmatrix diffusionretardationDNAPLleast squaresRaoult’s Law Acknowledgements This research was financially supported by NSERC, Queen’s University, and the Ontario Government in the form of scholarships to the primary author. The authors are also grateful to Dr. James Rawson of the General Electric Company for productive discussions about PCBs and their fate in the environment.
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 | 0.000 |
| 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 it