Bibliographic record
Abstract
An on-farm test for canola (Brassica napus L. and B rapa L.) seed vigor would help ensure that canola growers plant only high-quality seed. A rapid, 24-h color test based on ethanol emission by partially imbibed canola seed is described. Test results were compared to seed vigor measured as 2-d radicle protrusion (R2) and to standard germination (SG, normal seedlings). Color development was insensitive to variations in seed pesticide treatments, sample size (1-4 g), incubation temperature (19-26°C), incubation period (24-30 h), and initial seed moisture (5%-10%). The test partitioned seed samples into deteriorated and non-deteriorated categories for hybrid, open-pollinated, B. napus and B. rapa seeds with 84%–100% accuracy. The test was 86% accurate at classifying samples by R2 and 70% accurate at classifying sample by SG. Precision of repeat determinations was sufficient to permit single assays. Although further study is required, the assay appears to have promise as a practical on-farm seed vigor test.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".