Bibliographic record
Abstract
This study was designed to identify seed-borne fungi on hybrid rice(Oryza sativa L.)in Sichuan.Twenty-two seed samples were collected for mycological analysis by the washing,standard blotter tests.It was found that the disease seeds and sclerotia,mainly kernel smut and false smut seeds,could account for 3.65% of the total seeds and each gram seeds burthen 1.65×105 spores.Paddy rice contained high levels of a wide variety of fungi.1698 fungal isolates which belong to 28 or more genera,were identified by standard blotter method.The most common fungi isolated were Aspergillus(11.66% of all fungal isolates),Tilletia horrida(10.54%),Fusarium(9.36%),Rhizoctonia solani(8.07%),Penicillium(7.54%),Alternaria(4.95%),Rhizopus(4.59%),Ustilaginoidea virens(4.18%),Sclerotium(4.12%),Mucor(3.36%)species.Although groups of seed-borne fungi from hybrid rice were diverse,no new seed-borne fungi was discovered.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 teacher head, 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".