Classification of Sorghum bicolor (L.) Moench Seed Vigor by Respiratory Activity
Bibliographic record
Abstract
Seeds are one of the main inputs used in agriculture, and their quality is directly related to the success of the field crop. Thus, seed companies increasingly need to obtain fast and reliable seed quality results, making it easier to make decisions regarding the use of seed batches. In this sense, the objective was to evaluate the CO2 measurement efficiency in the classification of S. bicolor seed vigor. For this, six batches of cv. Ponta Negra seeds were used, from different national producers. The physiological quality of the seeds was evaluated by means of the following tests: germination, first germination count, germination speed index, accelerated aging, total dry matter of seedlings, electrical conductivity and respiratory activity. The experimental design was completely randomized, with four replications. The Pearson correlation coefficient between the respiratory activity and the germination and vigor tests was determined. The respiratory activity test on S. bicolor seeds was shown to be promising for the identification of differences in vigor between seed batches.
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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 | 0.000 |
| 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) | 0.000 | 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".