POSTHARVEST DIPS TO CONTROL BLACK SPECK AND SCAR DISCOLORATION IN STORED BROCCOLI
Bibliographic record
Abstract
ABSTRACT The overall objective of this study was to evaluate the effects of postharvest dips on black speck development and scar discoloration in broccoli. Postharvest chlorine dips of 100, 200 or 300ppm for 5 or 10 min consistently reduced black speck development and scar discoloration in broccoli stored 4 weeks in air at 1C. Concentrations of 200 and 300ppm chlorine were also effective at reducing black speck and scar discoloration, respectively, in broccoli stored 4 weeks in controlled atmosphere (CA, 1% O 2 and 12% CO 2 ) at 1C. Citric (1%) and ascorbic (1%) acids, on the other hand, increased both black speck and scar discoloration, while L‐cysteine (0.01%) and combinations of citric (1 or 2%) and ascorbic (1 %) acids had no effect.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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) | 0.000 | 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".