One Shell to Rule Them All? Evaluating Hydrodynamic Trade-Offs Due to Positioning in Freshwater Mussels
Bibliographic record
Abstract
Unionid mussels are important in freshwaters because of their roles as ecosystem engineers (e.g., water quality and nutrient regulation). Water flow plays a significant role in the life of mussels, facilitating several processes including reproduction and food intake. Excessive hydrodynamic forces, however, are also responsible for the dislodgement of mussels, especially when mussels engage in feeding and reproduction and are exposed above the sediment-water interface. This research presents both field and computational fluid dynamics (CFD) modeling to understand the advantages and disadvantages (i.e., trade-offs) of mussel orientation at different water speed. Freshwater mussels were collected from rivers in Southern Ontario, and the species and orientation, relative to flow in the river, was recorded. For CFD modeling, COMSOL Multiphysics software was used to model these interactions with Lampsilis siliquoidea. Higher angles of attack and vertical angles have higher drag coefficients. The significance of this research is to provide a broader understanding of the impact of hydrodynamic forces on living organisms in moving fluids. In addition, the evolutionary history of freshwater mussels will be better understood relative to water flow characteristics.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".