Equilibrium Partition Theory Applied to PCBs in Macrophytes
Bibliographic record
Abstract
The applicability of the equilibrium partition theory (EPT) for PCB accumulation in submerged macrophyte shoots was investigated using field data. The equilibrium state of PCBs between macrophyte shoots and sediments was verified by testing the direct proportionality (slope = 1 in a log-log relationship) between congener concentrations in the lipids of macrophyte shoots (Cli) and in the organic fraction of sediments (Cso), using the slope-range method. A significant proportionality was found between Cli and Cso (slope of the log-log relationship: 0.978 +/- 0.041; R2 = 0.847; P < 0.001). The biota-sediment accumulation factor (BSAF) predicted from this relationship (3.74, SE: 1.14) was in the 1-4 range that is suggested in the literature. These results indicate that, in our study sites, EPT is applicable to PCBs in macrophyte shoots. This opens interesting perspectives in environmental monitoring.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".