Data from: The deep-soil sampling in Chile revealed a new elateroid beetle lineage, Badmaateridae fam. nov. (Coleoptera)
Bibliographic record
Abstract
Deep-soil arthropods remain one of the least studied components of terrestrial biodiversity, and we present, as an exciting discovery, a new endogean beetle collected by floating deep soil samples in Chile. We analyzed a 4,203-ortholog dataset using both maximum likelihood and coalescent methods to infer its relationships. Regardless of the analytical setup, Badmaater was recovered as the sister to the clade consisting of Lycidae, Cantharidae, Elateridae, and the lampyroids. The distant position of Badmaater relative to the previously described elateroid families is confirmed by additional analyses of differently sampled, although less phylogenetically informative, 66-gene and mitogenome datasets. As a result, we describe Badmaater chilensis sp. and gen. nov. in Badmaateridae fam. nov. (Coleoptera: Elateroidea). Badmaater resembles other clicking elateroids, but has a three-segmented antennal club, slender palpi, and globular metacoxae that are situated close to each other. It is blind, wingless, and extremely small-bodied. We date the origin of Badmaateridae to the Triassic. The ancient origin of Badmaateridae suggests that this lineage has probably survived all disturbances shaping modern life, from the Triassic/Jurassic volcanic activity to the end-Cretaceous asteroid impact and subsequent Cenozoic and Quaternary climatic fluctuations. However, Badmaateridae is now one of the few beetle families with only a single species restricted to a narrow range. Deep-soil dwelling Badmaater survived in a relatively high-latitude area periodically affected by close glaciers and separated from the tropics by an arid zone. Badmaater, as a wingless deep-soil beetle occurring in a restricted area, has a limited dispersal propensity and consequently faces an inherent risk during turbulent environmental changes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".