To stay or not to stay? A model to test decision making of Mysis diluviana to vertically migrate
Bibliographic record
Abstract
Freshwater mysids play vital roles in lake food webs because their extensive diel vertical migration (DVM) couples pelagic and deep-water benthic habitats. Mysids are omnivorous and thus have the potential to transport nutrients in both vertical directions, and also, serve as a vital food source for many pelagic and benthic fishes. Recent observations indicate that Mysis spp exhibit partial DVM (pDVM) where a percentage of the population remains benthic at night. The drivers that determine if mysids migrate at night remain unknown. A model was developed to evaluate how decisions to migrate or remain on the bottom at night, and the potential drivers that could influence those decisions, can lead to population-level pDVM behavior. The model runs on hourly time step and includes seasonal changes in light, temperature, food availability, and habitat-dependent mortality. We used the model to test several hypotheses about Mysis decision making including: (1) pelagic food availability; (2) size-based predation risk; and (3) body condition (reproductive state). The model will be compared with empirical observations on pDVM in Lakes Champlain and Ontario. Results from the model will be used to guide hypothesis development and quantify effects of alternative migration strategies on Mysis survival and growth.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.004 |
| 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 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".