Characterization of four tetranucleotide and six dinucleotide microsatellite markers for use in the tropical freshwater fish <i>Telmatherina antoniae</i> and related species
Bibliographic record
Abstract
Abstract Ten primer pairs were designed from two genomic libraries enriched for (GACA) 4 and (GACA) 7 in the sailfin silverside Telmatherina antoniae . Characterization with 57 T. antoniae individuals revealed between three and 30 alleles, with observed and expected heterozygosity values ranging from 0.47 to 0.98 and from 0.46 to 0.93, respectively. Eight of the 10 loci conformed to Hardy–Weinberg equilibrium, with no significant linkage detected between loci pairs. These microsatellite markers are intended for use in population genetic studies of T. antoniae and related fishes of the family Telmatherinidae.
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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".