Molecular Characterization of Economically Important Penaeid Population in South East Coast of India
Bibliographic record
Abstract
Genetic variation of wild Penaeid populations of South East Coast region in India, using Randomly Amplified Polymorphic DNA (RAPD) analysis as DNA marker has been examined. Important penaeid species like Fenneropenaeus indicus, Penaeus semisulcatus, Penaeus monodon were collected atdifferent geographical location such as Chennai, Nagapattinam, Pudukkottai, Ramanathapuram and Tuticorin, but P. monodon was not obtained from Tuticorin. For RAPD analysis, 15 numbers of primers were used, among which 3, 4, and 6 numbers of primers have worked well for F. indicus , P. semisulcatus and P. monodon respectively. The results of this study, genetic variation (6- 33)% for F. indicus , (16-49)% for P. semisulcatus (16- 53)% for P. monodon . As conclusion, from the pattern of genetic diversity of these three penaeid populations, it could be considered as moderate to high, and maximum three population stocks are within the collected area.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".