Penyakit Layu Bakteri Stewart pada Jagung di Bali
Bibliographic record
Abstract
Stewart’s wilt is a serious disease of sweet corn (Zea mays). The typical symptoms of the disease are pale-green to yellow linear streaks parallel to the veins. The symptoms were observed on sweet corn in Denpasar, Tabanan, Gianyar, and Karangasem areas during a survey in 2015. Pathogen detection based on a polymerase chain reaction was carried out using total DNA obtained from symptomatic leaf samples and the pairs of primers, CPSL1/CPSR2c. The expected sized (~1100 bp) amplicon was detected in samples from Denpasar. Sequence analysis confirmed that Stewart’s wilt disease symptoms are caused by Pantoea stewartii subsp. stewartii. Nucleotide sequence and phylogenetic analysis showed that P. stewartii subsp. stewartii from Bali has high homology (98.97-99.08 %) and placed in the same clade with isolates from Canada, USA and Japan. This is the first report of P. stewarti subsp. stewartii on corn in Bali.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".