External Quality Control: Official Results of Forage Seeds Quality
Bibliographic record
Abstract
The objective of this work to evaluate the official results of seeds quality of ryegrass, black oat grass, sudangrass and pearl millet, originated from commercial establishments from the State of Santa Catarina. Lots of forage seeds sampled in the state of Santa Catarina in the year of 2013 to 2015, presented low physiologic and physic quality, being the main criteria of disapproval the physic purity and germination. The samples of forage seeds from C1 and C2 categories collected in Santa Catarina present superior quality in relation to the non-certified S1 and S2. The quality of ryegrass seeds (national) showed below the legal standards established, independent of the year, for the physic purity and germination criteria. Although, for the ryegrass lots (imported) there was none disapproval related to germination and physic purity being out of the tolerated limits.The germination and physic purity indexes, for sudangrass lots presented conformity index adequate to the tolerated limits allowed by legal standards. In the other hand, for the same species, the criteria for number of other cultivated species presented 100% of disapproval for the analyzed lots in the non-certified categories in 2013. Lots of pearl millet seeds, with exception of those from the C2 category sampled in 2014, presented in conformity to the legal standards required, being, in comparison with the other species, the one that showed lower non-conformity degree in the analyzed period.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".