Coral biodiversity and evolution: recent molecular contributions
Bibliographic record
Abstract
Tropical reefs are among the most diverse ecosystems. Corals, as the most prominent members and framework builders of these communities, deserve special attention, especially in light of the recent decline of coral reefs worldwide. The diversity of corals at various levels has been the subject of many studies, and has traditionally been investigated using morphological characters. This approach has proved insufficient, owing to several ecological and life-history traits of corals. The use of molecular/biochemical approaches has been propelling this discipline forward at an ever-increasing rate for the past decade or so. Reticulate evolution in corals, which has challenged traditional views on the ecology, evolution, and biodiversity of these organisms, is only one example of the results of molecular studies supporting the development of new concepts. We review recent literature reporting studies of the biodiversity, ecology, and evolution of corals in which molecular methods have been employed. We anticipate that in the coming years, an increasing number of studies in molecular biology will generate new and exciting ideas regarding the biology of corals.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".