QUANTITATIVE QUALITY TESTS FOR FISH MEAL. II. AN INVESTIGATION OF THE QUALITY OF SOUTH AFRICAN FISH MEALS AND THE VALIDITY OF A NUMBER OF CHEMICAL QUALITY INDICES
Bibliographic record
Abstract
ABSTRACT This report indicates that the quality of fish meal can conveniently be expressed by two independent indices: a pre-processing spoilage index and a heat abuse index. It is shown that indices of spoilage such as total volatile basic nitrogen (TVBN) or free fatty acid (FFA) can be misleading. As an additional quality index the phospholipid (PL) content is suggested. This index measures the PL content of the residual lipids in the meal and allows the quality of the dried presscake to be assessed separately from the added stickwater. The polyunsaturated fatty acid (PUFA) content of the meal lipids is also an excellent guide for detecting heat abuse during drying of the meal. Using this measurement no evidence was found to conclude that steam (indirect) dryers cause more heat damage to meals than flame (direct) dryers.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".