<i>Diopatra cuprea</i> worm burrow parchment: a cautionary tale of infaunal surface reactivity
Bibliographic record
Abstract
Many infaunal marine invertebrates produce mucus excretions that play an important role in metal binding, authigenic mineralization and burrow stabilization. To date, only a handful of studies have characterized the functional groups that control the surface reactivity of burrow linings and backfills. This makes it difficult to place estimates on the overall impact that bioturbation has on metal cycling in tidal flats, the inner shelf, estuaries and other shallow marine environments. Here, we examined the parchment linings of Diopatra cuprea burrows from the Ogeechee River estuary near Savannah, Georgia, USA. Acid–base titrations coupled with Fourier transform infrared spectroscopy demonstrate that the parchment is essentially composed of hydroxyl (R-OH) groups, yielding total ligand densities of only 0.017 mmol/g. To place this value into context, it is orders of magnitude less than previously reported mucopolysaccharides for other marine worms, indicating that D. cuprea is essentially unreactive in the estuarine waters from which it was collected. This was corroborated by minimal Cd2+ adsorption to, and limited silicification of, pre-rinsed parchment. The lack of silica adsorption was surprising given that the parchment was generally coated with an abundance of quartz grains when extracted from the sediment. This suggests that perhaps the physical, rather than chemical, characteristics of the parchment material were responsible for this association. Indeed, scanning electron microscope images show that the parchment is fibrous and envelopes quartz grains, implying that detritus may get trapped by the parchment mesh. It appears that unlike many other infaunal mucopolysaccharide-rich linings that might be produced to provide reactive surfaces to which dissolved metal cations can adsorb for the organism's nutritional benefit, the parchment of D. cuprea may instead function to protect the animal from stresses such as predation or high-energy disturbances.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".