Jailbreak: a fishway releases the endangered Macquarie perch from confinement below an anthropogenic barrier
Bibliographic record
Abstract
Management interventions are often needed to facilitate the recovery of ecosystems affected as a result of human alteration. Population-level monitoring is often central to evaluating the effectiveness of specific on-ground actions. In the present study, we assessed the response of a remnant population of the endangered Macquarie perch (Macquaria australasica) to the construction of a rock ramp fishway on the Cotter River, Australia, over a 7-year period. Prior to fishway construction, this obligate riverine spawner had been previously confined to Cotter Reservoir and six kilometres of stream by a raised road-crossing. Surveys conducted in the 2 years following fishway completion failed to detect Macquarie perch upstream of the fishway. Subsequent surveys (6–7 years post-fishway completion) detected Macquarie perch up to 12 km upstream of the fishway. The number and distribution of smaller-sized individuals (0+ (<100-mm total length (TL) and 1+ (100- to >150-mm TL)) suggests that individuals found upstream of the fishway are resident stream fish and not fish that have migrated from known downstream spawning areas. The success of the fishway has been timely because enlargement of a downstream reservoir will inundate four kilometres of river and destroy the majority of spawning sites of this species downstream of the fishway in the Cotter River.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".