Genetic variability between populations of the critically endangered frog Microbatrachella capensis, Boulenger 1910 (Anura: Ranidae: Cacosterninae)
Bibliographic record
Abstract
The micro frog, Microbatrachella capensis (Boulenger, 1910), is a Critically Endangered anuran found in fragmented marshland habitats along the southern coast of the Western Cape Province of South Africa. The genetic diversity between and within the remaining populations (Kenilworth, Grootwitvlei, Kleinmond, Lamloch, Hagelkraal, and Buffeljacht/Ratelrivier) of Microbatrachella capensis in the Western Cape Province of South Africa was assessed, sampling 12 specimens from each population. Genetic diversity was determined from an analysis of mitochondrial DNA sequences obtained from the ND2 gene region/locus. A phylogeographic analysis of the populations of micro frogs sampled was used to determine the current genetic structure and the history of the species. The analysis divided the six populations of the species into two lineages. The variation within the populations ranged from two to six haplotypes per population. Nested clade analysis inferred allopatric fragmentation for three out of the five significant clades. The division of the lineages into two geographical units, the absence of gene flow and the allopatric fragmentation indicates long-term isolation, around 1.09-1.52 my ago. The isolation and fragmentation of the populations is postulated to be due to historical sea level fluctuations that occurred in Southern Africa during the Quaternary Period. Allopatric fragmentation and lack of gene flow among populations within the two major lineages are due to recent habitat destruction through development. The recognition that the species contains two evolutionarily significant units, corresponding to Agulhas and western lineages, will aid future conservation efforts to save this species.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".