Riboflavin and niacin concentrations of bison cuts.
Bibliographic record
Abstract
We analyzed the riboflavin and niacin contents of individual cuts from clod (triceps brachii), ribeye (longissimus thoracis), top round (semimembranosus), and top sirloin (gluteus medius) from 24 fed bison bulls. The bulls came from producers in the United States and Canada and had consumed concentrate diets plus hay free choice for at least 100 d. The mean riboflavin and niacin concentrations of all of the bison cuts combined were .094 and 1.910 mg/100 g wet weight, respectively. The riboflavin and niacin content values did not differ (P < .05) among the cuts of meat. Cuts from individual bulls were significantly different (P < .05) with regard to both riboflavin and niacin contents. Little variation was observed in riboflavin and niacin content of five bison from the same producer and two bison from another producer. These content values may be used in estimating the riboflavin and niacin content of bison meat.
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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) | 0.001 | 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 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".