Length-weight relationships of 29 species of teleost fish from shallow estuarine environment of Samborombon Bay (Río De la Plata, Argentina)
Why this work is in the frame
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Bibliographic record
Abstract
The lengthí weight relationships (LWR) of 29 teleost fish species from the shallow estuarine environments of the Samborombón Bay wetland (Río de la Plata, Argentina) were estimated. A total of 6,376 individuals belonging to 19 families were measured and weighed. The best represented family was Sciaenidae with 6 species, followed by Clupeidae (n = 3), and Heptapteridae and Characidae with 2 species each. Significant lengthí weight relationships with high correlation coefficients were found for all species, which mostly presented positive allometric growth. This study reports the first findings regarding the LWR of 29 species in the Samborombón Bay waters. New maximum sizes and geographic distribution records of certain species are also commented.
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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 | 0.001 |
| 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 it