Population responses of the pulmonate gastropod, <i>Amphibola crenata</i> , reflect estuarine trace metal contamination
Bibliographic record
Abstract
ABSTRACT This study assessed the potential of the mud snail Amphibola crenata as a bioindicator of estuarine health. Multiple sites with varying contaminant inputs were identified within a small, shallow estuary (Avon‐Heathcote/Ihutai in the South Island of New Zealand). Population structures of field‐collected A. crenata were related to measurements of sediment trace metal profiles. Whole‐body soft tissue metal concentrations were significantly positively correlated with sediment trace metals for all elements analysed (arsenic, cadmium, copper, nickel, lead and zinc). In terms of population biomarkers, medium‐sized mud snails (7.9–17.9 mm shell length) dominated the population size structure at the most contaminated sites. That sites which were more highly enriched in trace metals were distinguishable by application of a simple population structure assessment, suggests that A. crenata has potential value for evaluating estuarine health. However, further investigation of other biotic and abiotic factors that may influence population structure are required.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 teacher head, 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".