The evolution of geographic parthenogenesis in <i>Timema</i> walking‐sticks
Bibliographic record
Abstract
Phylogenetic studies of asexual lineages and their sexual progenitors are useful for inferring the causes of geographical parthenogenesis and testing hypotheses regarding the evolution of sex. With five known parthenogens and well-studied ecology, Timema walking-sticks are a useful system for studying these questions. Timema are mainly endemic to California and they exhibit the common pattern of geographical parthenogenesis, with asexuals exhibiting more-northerly distributions. Neighbour-joining and maximum-parsimony analyses of 416 bp of mitochondrial cytochrome oxidase I (COI) from 168 individuals were used to infer general phylogenetic relationships, resulting in three major phylogeographical subdivisions: a Northern clade; a Santa Barbara clade; and a Southern clade. A nested cladistic analysis, comparing intra- and interspecific haplotypic variation on a geographical scale, revealed that the overall pattern of geographical parthenogenesis in Timema could be attributed to historical range expansion. These results suggest that geographical parthenogenesis is the result of more-extensive northerly dispersal of asexuals than sexuals.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".