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.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".