Genetic Analysis of Scleropages formosus Golden Asian Arowana Using Microsatellite DNA
Bibliographic record
Abstract
Asian arowana (Scleropages formosus) is a highly endangered fish species listed in Appendix 1 of CITES since1980.Inorder to explore the population genetic structure of golden Asian arowanas Scleropages formosus from the breedingpopulation, of 26 fish sampled were genotyped at twenty microsatellite loci. The average allele number of 14polymorphic microsatellites was 2.94 loci. The average observed heterozygosity was 0.446 ranging from 0.143 to 1.00,and the gene diversity was quite high (0.78).All these data suggest that middle level of genetic diversity existed in thegolden Asian arowana population. Data showed the population somewhat departed from HWE, such as excessive anddeficient heterozygote numbers.AMOVA analysis offered evidence of a weak genetic differentiation with 0.51%variation between samples.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".