Factors Affecting Critical Toxicokinetic Parameters of Polychlorinated Biphenyls (PCBS) in Japanese Koi (CYPRINUS CARPIO): Effect of Diet on Chemical Assimilation and Influence of Feces to Whole Body Chemical Elimination
Bibliographic record
Abstract
This thesis provides enhanced calibration of critical parameters, chemical uptake efficiency (AE), chemical whole body elimination rate coefficient (ktot), and fecal elimination rate coefficients (kex), which are applied in a generalized fish bioaccumulation model applicable to polychlorinated biphenyls. Chapter 2 presents measurements of chemical AE based on a mass balance method and shows that both chemical hydrophobicity and diet properties have a significant influence on the chemical AE. Lipid content in the diet was not shown to have significant effect on the chemical AE. Chapter 3 provides measurements of ktot and kex for both labile and recalcitrant PCB congeners across three dose levels. First order kinetics was confirmed in the study, which also showed that fecal elimination counted for only a small fiction of the whole body elimination. Gill elimination and metabolic biotransformation were shown to be equally important as elimination routes for labile congeners.
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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 | 0.001 |
| 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 | 0.000 |
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".