Comparative analysis of organochlorine accumulation in two top predator shark species with contrasting life history traits
Bibliographic record
Abstract
Sharks vary widely in life-history strategies, and possess unique lipid metabolism. Because of this diversity, and organochlorine (OC) lipid association, dynamics of OC accumulation in elasmobranch-rich ecosystems may be ineffectively predicted by the typically relied upon indicators, stable isotopes and body size. I compared ontogenetic OC profiles and concentrations between dusky ( Carcharhinus obscurus ) and white ( Carcharodon carcharias ) sharks. OC concentrations were elevated in the larger, higher trophic position (TP) white shark, but despite a tenably faster growth rate, ontogenetic diet shifts to mammal prey, and regional endothermy, slopes of growth-dilution corrected concentrations with age were equal between species. Similar ontogenetic TP increases, infrequent white shark seal predation, or inaccurate growth parameters are possible explanations. Inshore habitat use and mass varied in white and dusky sharks respectively with OC profiles and concentrations. TP and mass predicted interspecific concentrations and may therefore be considered reliable indicators of OC accumulation in these sharks.
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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 | 0.001 | 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".