Testing for Convergent Evolution in Semi-aquatic Anolis Lizards
Bibliographic record
Abstract
Twelve species from six different clades of Anolis lizard exhibit a semi-aquatic lifestyle. These unusual species are found only along neotropical streams, and are known to swim, capture aquatic prey, and dive to escape predators. Based on ecomorphology theory, and anoles’ famed predisposition for convergence, we would predict that these anole lineages should have undergone convergent evolution. However, previous morphometric research suggested that semi-aquatic anoles are not convergent. This thesis reinvestigates whether semi-aquatic anoles have convergently evolved using novel morphometric and experimental approaches. I assessed the morphology, swimming speed, and diving performance of semi-aquatic and non-aquatic anole species from throughout the neotropics. My results suggest that semi-aquatic anoles have converged upon similar morphologies, superior swimming performance, and a previously undiscovered potential adaptation for diving: underwater rebreathing. Semi-aquatic anoles show evidence of repeated multidimensional convergence, and, somewhat uniquely for Anolis, provide strong evidence for convergence between mainland and island forms.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".