IMPACTS OF FISH FARM DAMS ON TEMPORAL AND SPATIAL DISTRIBUTION OF <i>Astyanax</i> cf. <i>bimaculatus</i> IN MICROBASINS OF THE MACHADO RIVER (RONDÔNIA, BRAZIL)
Bibliographic record
Abstract
The present study evaluated the effects of fish farm dams on spatial and temporal distribution of lambari Astyanax cf. bimaculatus in five headwater streams of the Machado River basin, Rondônia State, Brazil. The results show that fish farm dams are spatially separating wild lambari populations into upstream and downstream groups. Moreover, it was observed that the dry and rainy seasons influence the abundance and presence of A. cf. bimaculatus in these areas, while limnological parameters did not differ y in the streams. Additionally, it was shown that fish farm dams built in the headwater stream areas impede the migratory routes of A. bimaculatus, and also possibly the local movements of resident fish populations. Therefore, before the implementation of new farm dams using natural streams in the future, mitigation plans should include adequate access routes for fish to travel between upstream and downstream areas, in order to avoid adversely affecting their wild populations.\n\nKeywords: Fish farm dams; lambari fish; Madeira River; microbasins; population parameters.
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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) | 0.001 | 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".