The mylodontine ground sloth<i>Glossotherium tropicorum</i>from the late Pleistocene of Ecuador and Peru
Bibliographic record
Abstract
Abstract New mylodontine (Xenarthra, Pilosa) sloth remains from the late Pleistocene tar seep localities of Corralito (Ecuador) and Talara (Peru) are described, and the taxonomic history of the extinct ground sloth genusGlossotheriumis reviewed. Based on the new material and comparisons withGlossotherium robustum, Glossotherium wegneri, and the North American taxon,Paramylodon harlani, the speciesGlossotherium tropicorumis considered to be valid and a new definition of its diagnostic characters is provided.Glossotherium tropicorumis similar in size toGlossotherium robustumandGlossotherium wegneribut differs in several respects from these species, such as having a more elongated and slender skull. In this respect it more closely resemblesParamylodon harlaniin North America, which is also similar in size.Glossotherium tropicorumis one of two mylodontine sloths found in the upper Pleistocene of north‐western South America, the other beingGlossotherium wegneri. While both are present in this region their individual distributions did not overlap and the two species have not been recovered together in a fauna. The distribution ofGlossotherium tropicorumis restricted to lowland coastal areas whereasGlossotherium wegneriis found inland and in the highland areas of the Andes, suggesting significant differences in their ecology.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".