Next generation sequencing data in the phylogenetic relationships of the genus Molossus (Chiroptera, Molossidae)
Bibliographic record
Abstract
The mastiff bat Molossus is a broadly distributed genus within the family Molossidae. Molossus includes groups of species that are either morphologically or genetically very similar, rendering the taxonomy of this genus confusing and unstable. In this paper, we provide inferred phylogenetic relationships of Molossus based on the genotype by sequencing approach from 189 specimens of three species of New World mastiff bats ( Molossus , Promops , and Eumops ). We also present data on divergent tree topologies produced by alignments using de novo and reference genome approaches and distinct phylogenetic methods (maximum likelihood and coalescent approaches). These data provide the first highly resolved phylogenetic tree for Molossus , not recovered by previous studies using Sanger sequencing. Our dataset brings new insights on relationships among species and show how different approaches might affect phylogenetic resolution and topologies.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".