Determining the processes responsible for plume attenuation in an oil sands wetland
Bibliographic record
Abstract
Data collection, whilst somewhat delayed by COVID-related lab shutdowns), continues to generate important new insights into the environmental processes and chemistry at the research site new Fort McMurray. Interpretation and modelling of inorganic geochemical data from the site demonstrates that the plumes' boron (B) distribution is consistent with an equilibrium sorption model. The model approximates the start of the OSPW seepage at 13 years ago, which suggests seepage probably started with the establishment of the tailings pond. Unlike B, modelling of the acid extractable organic (AEO) data indicates that the very rapid (<20 m) attenuation of the OSPW signature is unlikely to be due to sorption alone, but rather due to competitive ligand reactions that ultimately lead to carboxylic acid sequestration in the substrate. Data on microbially-mediated AEO decomposition and seep water toxicity and toxicity evolution within the plume are pending.
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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 | 0.000 | 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) | 0.000 | 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".