STABILIZATION OF OAT GROATS BY INFRARED TREATMENT
Bibliographic record
Abstract
Micronization (infrared heating) with a lab-scale micronizer was studied as an alternative method of heat treatment for oat groats. The objective of the study was to determine the optimum infrared heat processing conditions that would inactivate lipolytic enzymes without burning the oat groats. Prior to micronization, the oat groats were tempered to 28% moisture content. Two micronization protocols were examined: (i) where the surface temperature of the groats was controlled by spraying with water (spraying tests) and (ii) where the temperature of the oat groats was controlled by restricting the infrared intensity (voltage control tests). Processing conditions were evaluated based on negative peroxidase results for both protocols. Either protocol could be used to inactivate peroxidase, but the temperatures at the end of processing were higher for the spraying test (157n161 o C) than the voltage control test (137n155 o C). The final moisture contents for both
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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 | 0.000 | 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 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".