Physical properties characteristic of Polish and Canadian lentil seeds
Bibliographic record
Abstract
A b s t r a c t. The physical properties of the Polish variety of lentil seed, Tina and the Canadian variety, Laird Lentil (the most popular variety imported into Poland) were compared. The parameters of individual seeds (size distribution, mass per 1000 seeds) and the parameters of bulk seed (the bulk density, the porosity, the angle of internal friction, the wall friction coefficient and the pressure ratio) of both varieties were compared for the moisture content of the seed within the range 9 to 21%. The seeds of the Canadian variety were found to be shapelier than the seeds of the Polish variety. The different swelling characteristics observed between the two varieties can be attributed to the different anatomical structures of the seed coating /husk/ in the two varieties. The seed coating of the Polish variety is rougher than that of the Canadian variety. Microscope photos of cross-sections of the seeds indicated that the seed coat of the Canadian variety is approximately twice as thin as the Polish variety. The concentration of papillary cells on the surface of the seed coat is higher in the case of the Canadian variety which produces a smoother surface than does the Polish variety. The mechanical properties of bulk seed were similar for both varieties.
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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".