A revised life table and survivorship curve for <i>Albertosaurus sarcophagus</i> based on the Dry Island mass death assemblageThis article is one of a series of papers published in this Special Issue on the theme <i>Albertosaurus</i>.
Bibliographic record
Abstract
In 1910 a crew from the American Museum of Natural History discovered a bone bed composed primarily of the large tyrannosaurid Albertosaurus sarcophagus in what is now Dry Island Buffalo Jump Provincial Park in Alberta, Canada. Study of the remains from the site allowed the first life table and survivorship curve for a non-avian dinosaur to be created. These have served as a model for subsequent studies of dinosaurian population biology. Since 2006, the discovery and preparation of hundreds of new elements from the bone bed stand to substantially increase the minimum number of individuals (MNI) represented. This would allow testing of previous conclusions regarding the population biology of these animals and refinement of our understanding of the patterns of survivorship. Here, four formerly unrecognized individuals from the Dry Island assemblage are revealed and a revised life table presented. As in the previous analysis, a left skewed age distribution and sigmoidal survivorship pattern were found. Annual mortality rates averaged 3.47% between ages two and 13 and then increased to a mean of 19.5% prior to extinction of the cohort after 28 years of age. Mean life expectancy for individuals surviving to two years of age was 15.19 years. Mid-life increase in attrition corresponds to entrance into the breeding population. The MNI is unlikely to substantially increase, and new individuals are unlikely to affect the pattern of survivorship inferred here. Nevertheless, future excavations stand to reveal more about the anatomical and pathological variance within the Dry Island Albertosaurus population.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".