Analysis of the feeding ecology of the sea anemone <i>Bunodosoma zamponii</i>: populations under differential anthropogenic pressures
Bibliographic record
Abstract
The feeding ecology of two populations of the sea anemone Bunodosoma zamponii Gomes, Schama & Solé-Cava 2012 living under different anthropogenic pressures in the coast of Mar del Plata (Buenos Aires, Argentina) was studied. One population was located in Las Delicias (LD; an impacted site adjacent to a wastewater treatment plant) and another in Punta Cantera (PC; the reference site). Both populations of sea anemones were monitored for 2 years and their trophic ecology was analyzed. The mytilid Brachidontes rodriguezii (d'Orbigny, 1842) was the main item found throughout all seasons. Prey diversity was highest in PC during autumn and lowest during winter for both sites. Prey abundance was lower in LD during autumn and summer. Additionally, prey items were larger in PC during autumn, winter, and summer. Item capture probability in autumn was significantly lower in LD. Altogether, the results indicate that the diet of Bunodosoma zamponii differed significantly between sites and such differences varied throughout the year. Most of the differences occurred during autumn and winter, which correspond with a greater concentration of organochlorine pesticides, chlorpyrifos, and polychlorinated biphenyls in anemones from LD registered in previous studies. Overall, this study provides significant knowledge on the feeding ecology of Bunodosoma zamponii that complements the existing information and will provide meaningful insight into the current status of this anemone's populations.
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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".