Dry mass loss of different moisture content canola at different temperatures
Bibliographic record
Abstract
Dry mass loss (DML) of Sound canola and Mouldy canola (sound + mouldy canola) was measured at 25, 30, and 35oC over 14 weeks by weighing 10 kg samples every 2 week. The moisture content of the canola was 10, 12.5, and 15.0% (wet basis). The relationship was quantified among the DML measured gravimetrically, germination decrease rate (GDR), and decrease in the percentage of test weight (PTW). The measured DML was also compared with the DML estimated from respired CO2. The measured DML increased as germination and test weight decreased, and the Spearmen Rank Order correlation between DML and germination or between DML and PTW was greater than 0.58 in 18 of 24 cases. The GDR of mouldy canola was significantly higher than that of Sound canola except at 15% moisture content and 35oC. A decrease of germination and/or PTW could be used to estimate roughly the DML trend but did not predict the DML value with high accuracy. There was no significant difference between the measured- and estimated-DML. Measuring the mass loss or CO2 production roughly estimated DML but using DML to evaluate grain quality was unreliable.
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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 | 0.001 | 0.001 |
| 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".