Taxonomía y biogeografía del extinto lobo gigante, Canis dirus Leidy 1858, en México
Bibliographic record
Abstract
In the 80's it was proposed that the extinct dire wolf, Canis dirus Leidy, 1858, was conformed by two subspecies: C. dirus dirus Leidy, 1858, which extended from the northeast of the United States to Canada and C. dirus guildayi Kurtn, 1984, which lived in Mexico and the western coast of United States. In Mexico, this classification was based mainly on specimens from the San Josecito Cave, Nuevo Len. With the aim of evaluating the proposed taxonomic assignment of the mexican record we performed a morphometric analysis comparing the mexican material with specimens of both subspecies from United States. Mexico is the second region with the most abundant fossil record of this canid and, although most of the material is not well preserved, our results indicate that there are no differences between both subspecies, as a consequence the collected material from Mexico must be identified only as Canis dirus.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.006 |
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; both teacher heads agree on what is shown here.
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".