Comparative Growth Characteristics of Emus (Dromaius novaehollandiae)
Bibliographic record
Abstract
The objective of this study was to model the growth process, derive growth parameters in emus, compare the parameters using broilers as a benchmark, and identify opportunities to improve the efficiency of emu production. The Richard’s growth model fitted the weight and age data of emu and broilers very well with R2 estimates that were ≥99%. The mature weights of emus were estimated to be 49.5 kg, and broilers were estimated to be 4.6 kg. Lifetime absolute growth rate of emus was 68.4 g/d, and they matured 12.5 times slower than broilers. Inflection age and weight were 105 d and 9.8 kg, respectively, for emus and 36 d and 1.67 kg, respectively, for broilers. Because emus are slaughtered late, growth efficiency is poor, and the feed cost per kilogram of gain is high. Characterizing the growth process is a valuable strategy that could be used to selectively breed emus that grow and mature rapidly and have high gain to feed ratios.
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) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".