DETEKSI DAN IDENTIFIKASI CENDAWAN Tilletia spp PADA BIJI GANDUM (Triticum aestivum L) IMPOR
Bibliographic record
Abstract
Wheat is one of the cereal commodities which is a daily food in large quantities for the world's population. The high import of wheat into the territory of the Republic of Indonesia also allows the entry of quarantine plant pest organisms (OPTK) category A1, namely plant pests that do not yet exist in Indonesia. The OPTK in wheat germ are Tilletia tritici (syn Tilletia caries), Tilletia indica Mitra and Tilletia laevis (syn Tilletia foetida). This study aims to detect and identify the presence of the fungal pathogen Tilletia spp on imported wheat seeds. This research was conducted at the Makassar Agricultural Quarantine Center Laboratory. This study used samples of imported wheat seeds from Ukraine, the United States (USA), Canada, Australia, and Maldova using the washing test method. The results showed that wheat from the United States (USA) and Maldova was positive (+) infected with the fungus Tilletia spp, and wheat from Ukraine, Canada and Australia was negative (-) Tilletia spp. Detection and identification showed that wheat seeds from the United States (USA) found Tilletia caries (syn. Tilletia tritici) and Tilletia indica Mitra, wheat seeds from Maldova found Tilletia foetida (syn. Tilletia laevis).
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".