Performance, health and tissue weights of broiler chickens fed graded levels of hairless hulled yellow and brown canary seed (<i>Phalaris canariensis</i> L.)
Bibliographic record
Abstract
Classen, H., Cho, M., Hucl, P., Gomis, S. and Patterson, C. A. 2014. Performance, health and tissue weights of broiler chickens fed graded levels of hairless hulled yellow and brown canary seed (Phalaris canariensis L.). Can. J. Anim. Sci. 94: 669–678. Research examined the effects of dietary levels (0, 15, 30 and 45%) of hulled yellow (C05041) and brown (CDC Maria) canary seed on the performance and health of broiler chickens. Eight (six birds each) and five (four birds each) replications per treatment were used from 0 to 21 and from 22 to 35 d of age, respectively. Growth rate and feed intake were affected in a quadratic manner by canary seed level from 0 to 21 d with the highest growth achieved by 15 and 30% treatments, but were not affected from 22 to 35 d. Feed to gain ratio decreased linearly with increasing canary seed for both 0- to 21-d and 22- to 35-d time periods. Mortality was not affected by level of canary seed, but more birds fed the C05041 cultivar died as a result of yolk sac infection and infectious causes than did birds fed CDC Maria. Level of canary seed affected jejunum, kidney and bursa of Fabricius proportional weights in a quadratic manner with no differences between the 0 and 45% treatments. No interactions were found between dietary level and cultivar of canary seed. Treatment did not affect gross necropsy at trial end or histopathology of key organs. Yellow and brown hairless canary seed has merit and is safe for poultry feeding.
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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) | 0.001 | 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 | 0.001 |
| 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".