Biological characteristics of Pontic shad (<i>Alosa immaculata</i> Bennet 1835) from the Bulgarian sector of Danube River
Bibliographic record
Abstract
The annual fluctuations in the average length of the catches of A. immaculata , from the Bulgarian sector of the Danube River were studied. Between the years of 1962 and 2010 the average length varies within 23.7 cm and 26.3 cm, while in 2011, there was a significant drop in the average fish length (20.1 cm). The fecundity of the Pontic shad declines with increasing the linear and weight temp of growth. The condition factor was calculated by the coefficient of Fulton (K f ) using the total and gutted weight. The value of K f , calculated using the gutted weight of the individuals is 1. For males and females, the values of K f are respectively 1.05 and 1.07. Condition factor was also studied for each age group separately, for males and females and combined for both sexes.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| 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".