Tracing the Evolutionary Origins and Dispersal Pathways of African Terrestrial Snails: Integrating Phylogeography and Fossil Records
Bibliographic record
Abstract
African terrestrial snails show significant characteristics in terms of evolutionary adaptation and ecological diversity, and their population diversity, genetic structure and distribution pattern are affected by multiple factors such as paleoclimatic change, geological evolution and geographical barriers. This study focuses on the evolutionary origin and diffusion paths of terrestrial snails in Africa, integrates phylogenetic methods and fossil record data, and analyzes molecular phylogenetic, lineage differentiation and niche evolution of representative genera such as Gittenodouardia and Cornu aspersum . Studies have pointed out that climate fluctuations and ecological fragmentation since the Pliocene have significantly promoted the lineage differentiation of multiple spiral genera, while plateaus, river valleys and climate zones constitute diffusion barriers or corridors. Through a comprehensive analysis of mitochondrial DNA, nuclear DNA and paleoecological models, this study not only clarifies the spatiotemporal evolution process of the main lineages, but also provides a new perspective for understanding the adaptation mechanism and diffusion history of African snails.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".