Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Tasmanian devils, the largest marsupial carnivores, have lived in relative isolation on the island of Tasmania. Consequently, there is limited genetic diversity within the devil population, reducing the population's overall fitness and making them more susceptible to the spread of infectious disease. In the past 30 years one such disease, a contagious cancer, has emerged posing an existential threat to the species. The cancer, devil tumor facial disease, is of non-viral origin and is spread by biting which has enabled it to disseminate throughout the devil population, in-and-between different geographic loci. Under this intense selective pressure an evolutionary arms race emerged between the contagious disease and the genetics of the devil host. Aided by the efforts of conscientious scientists there is now hope for the future of the Tasmanian devil population. Furthermore, the Tasmanian devil facial tumor has served as a case study in the value of interdisciplinary science, bringing together ecologists, immunologists, cell biologists, epidemiologists, and cancer biologist, all with the combined goal of saving the Tasmanian devil species.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it