TECHNICAL NOTES: NEAR EQUILIBRIUM MOISTURE CONTENT VALUES FOR HULLLESS OATS
Bibliographic record
Abstract
Sorption characteristics of hullless oats were obtained by thin layer drying (TLD) and equilibrium relativehumidity (ERH) methods. For the TLD method, oats were at initial moisture contents of 11, 16, and 22% [dry basis (db)] andthe air was conditioned to obtain relative humidities of 27, 37, 48, 61, 68, 69, 75, 88, and 93% at temperatures from 15 to35C. For the ERH method, low (7.6 to 8.7% db) and high (19.6 to 21.2% db) initial moisture content samples were used attemperatures from 15 to 35C. A significant difference exists between the values of equilibrium moisture content (EMC calledapparent hysteresis) obtained by two methods. Apparent hysteresis was 0.68 to 1.06 and 0.46 to 3.62 percentage points forthe TLD and ERH methods, respectively. High apparent hysteresis in the ERH method is attributed to the fact that it failedto attain EMC in 2024 h as is suggested in the literature. Additional tests for extended time for ERH method narrowed theapparent hysteresis, indicating that true EMC values were not obtained by the ERH method.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.011 |
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".