Stream Fragmentation Affects Movement in a Wetland-specialist fish, Grass Pickerel, Esox americanus vermiculatus
Bibliographic record
Abstract
Animal movement is a fundamental process for organisms to maximize their fitness, yet it is often challenged by human activities and climate change. For species listed under the Species at Risk Act, like Grass Pickerel (Esox americanus vermiculatus)—a wetland specialist—, understanding their movement ecology can inform conservation strategies. To determine their movement ecology, passive integrated transponder (PIT) tag data for Grass Pickerel in a Niagara Peninsula watershed gathered by Fisheries and Oceans Canada from 2009 to 2013 were analyzed. Of the 2,007 tagged fish, only 16% made movements more than 500m, with a median and maximum movement distance of 1.89 km and 13.5 km respectively. Movements mostly originated from locations with high local abundance, and mobile fish were longer than stationary fish. Hence, while a long-distance dispersal ability exists in extant Grass Pickerel populations, the conditions of riverscapes in southern Ontario may prevent these dispersals from occurring.
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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 | 0.001 |
| 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) | 0.002 | 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".