Feeding preferences and digestion of talitrids in a Bay of Fundy, Canada salt marsh
Bibliographic record
Abstract
The function of detritivores in salt marsh ecology still presents many unknowns. We experimentally investigate the food preferences of two talitrids found in Bay of Fundy salt marshes: Orchestia grillus (Bosc, 1802) (= Speziorchestia grillus Bosc, 1802) and Platorchestia exter Myers & Lowry, 2023 Food preferences were found to depend on (1) the availability of marsh plant litter at the supralittoral level where the talitrids live; (2) the degree of physical/microbiological decay of the plants present in marsh litter; (3) the talitrid ecotype that is doing the consuming. Our food preference experiments with different plant foods in culture conditions confirm that O. grillus is a palustral specialist limited to a single plant food class that contains structural lignocelluloses. Platorchestia exter is a wrack generalist able to acclimate in experimental cultures to a range of decaying plant foods including those containing structural celluloses (Phaeophyta) and lignocelluloses (Angiosperms). These results confirm the applicability of the generalist/specialist continuum within the Talitridae. Cellulolytic microbiological culture methods applied to dissected gut parts of O. grillus are consistent with the hypothesis that the midgut is where endosymbiotic enzyme activity occurs. The digestive enzymes originate from both resident hepatopancreatic and ingested microbes.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".