LIPID CHARACTERISTICS OF EMU MEAT AND TISSUES
Bibliographic record
Abstract
ABSTRACT Twenty four (24) samples of emu meat (drumstick) and fat (abdominal fat (AF) and back fat (BF)), liver and heart tissue were collected from three (3) farms, and twelve (12) samples of chicken (drumstick) and beef (steak) were collected from supermarkets. The AF and BF of emu contained over 99% triacylglycerols. Monounsaturatedfatty acids (MUFA) constituted to 56% in AF and BF, saturated fatty acids (SAFA) at 31% and polyunsaturated fatty acids (PUFA) constituted to 13%. Oleic acid (C18:1n‐9) was the predominant MUFA at 48%. The emu leg meat total lipids were up to 3%. Phospholipid constituted the major lipid class in emu and chicken meat at 64%, higher (P<0.05) than beef meat (47%). The emu drumstick contained higher (P<0.05) linoleic (C18:2n‐6), arachidonic (C20:4 n‐6), linolenic (C18:3 n‐3) and docosahexaenoic (C22:6 n‐3) acids than chicken drumstick and beef steak. The ratio of polyunsaturated fatty acids to saturated fatty acids in emu meat was 0.72, higher (P<0.0001) than chicken meat, 0.57 and beef meat, 0.3. The ratio of n‐6 to n‐3 fatty acids did not differ (P>0.05) among the three sources of meat.
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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 | 0.001 |
| 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) | 0.002 | 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".