Genetic and Morphological Differentiation Among Caucasian Rock Lizards of the Lacerta caucasica Complex
Bibliographic record
Abstract
The genetic diversity of 34 loci was surveyed from among five populations of the supposed conspecific taxa Lacerta c. caucasica , L. c. alpina , and L. c. daghestanica . Twelve loci exhibited variation. Fixed or nearly fixed allelic differences between L. c. caucasica and L. c. daghestanica were found at two loci, mannose-6-phosphate isomerase-A and creatine kinase-C. These two taxa differed from L. c. alpina at eight loci. Nei’s (1978) genetic distance values among populations of L. c. daghestanica ranged from 0.000 – 0.029, between L. c. caucasica and L. c. daghestanica from 0.076 – 0.087 and between L. c. alpina and the other taxa from 0.472 – 0.501. Fixed allelic differences and consistent morphological character states support the recognition of these three taxa as separate species. Therefore, we recommend use of the names L. alpina , L. caucasica , and L. daghestanica for these taxa.
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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".