Diet of the crest-tailed mulgara (Dasycercus cristicauda) in the Strzelecki Desert
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
A population of the crest-tailed mulgara (Dasycercus cristicauda) was recently located in the southern Strzelecki Desert in 2015. We analysed the diet of this population from scats (n = 87) collected over two sampling periods in 2016. Beetles were the most favoured food item, followed by spiders, ants and the small mammal Notomys fuscus. Within the beetles, ground beetles (Carabidae) and darkling beetles (Tenebrionidae) were the most frequently consumed. Dasycercus cristicauda appeared to exhibit a seasonal shift in prey consumption, moving from vertebrates in July 2016 to invertebrates in November 2016, while also consuming a wide and varied range of prey, even including rabbits in their diet in July 2016. The flexible diet observed in Dasycercus cristicauda may be a response to the fluctuating availability of food found in desert environments.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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