Phylogeography of the Hong Kong Whipping Frog (<i>Polypedates megacephalus</i>) throughout Hainan Island, China
Bibliographic record
Abstract
The Hong Kong Whipping Frog (Polypedates megacephalus) is widespread on Hainan Island and yet nothing is known about its history. To investigate this, we use sequences of a partial fragment of mitochondrial ND1 and its flanking region from 248 individuals taken from 30 localities. Analyses reveal low genetic diversity and commonly shared haplotypes. Montane areas exhibit a significantly greater genetic diversity than lowland areas (P 0.01). The origin of P. megacephalus on Hainan Island dates to 1.06 Ma in the Pleistocene. Population expansion events were associated with the transition from the last interglacial period to the last glacial maximum. The matrilineal history indicates dispersal from the montane to the lowland. Bidirectional dispersion occurs between northeastern and southwestern parts of the island. Low FCT values for the northeastern and the southwestern areas associate with rivers, whereas the highest values occur among two geographical groups. Thus, mountains and rivers appear to have effected dispersal. Pleistocene climatic cooling and the creation of a landbridge with mainland China owing to lowered sea levels best explains the occurrence of P. megacephalus on Hainan Island. The analyses provide insights into the effects of Pleistocene climatic fluctuations on an amphibian on Hainan Island.
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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".