Seasonal changes in reproductive endpoints in<i>Trichomycterus areolatus</i>(Siluriformes: Trichomycteridae) and<i>Percilia gillissi</i>(Perciformes, Perciliidae), and the consequences for environmental monitoring
Bibliographic record
Abstract
As protection of the natural reproductive pattern is necessary to ensure adequate conservation of natural populations, we examined some typical reproductive endpoints throughout a reproductive season in two Chilean species that lack this baseline information. Trichomycterus areolatus and Percilia gillissi both have maximum gonad development for an austral spring spawning period beginning in October/November. Trichomycterus areolatus appears to spawn many times, as there was no significant correlation between gonad size and body size, a characteristic of asynchronous spawners. Percilia gillissi appears to be a multiple spawner, with larger individuals spawning into January, although most fish completed spawning by December. To design a study for monitoring purposes with these species, the best sampling periods would be late fall (June) and spring (October) for P. gillissi, as power analysis indicated a target sample size of 20 females in June and 34 in October; the sample size in October could be reduced to 12 by selecting females > 50 mm in length, thereby reducing the variability. Trichomycterus areolatus gonadal variability was much higher, requiring a sample size in excess of 80 individuals for adequate statistical power. An understanding of these basic reproductive and metabolic patterns in South American freshwater fishes will help ensure better management of the water resources.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".