Seedling Inoculation Screening Technique to Identify Resistance to Fusarium solani f. sp. glycines a Causal Agent of Soybean Sudden Death Syndrome
Bibliographic record
Abstract
Sudden death syndrome (SDS) caused by Fusarium virguliforme (FV) formerly F. solani f. sp. glycines is one of the major yield reducing diseases of soybean (Glycine max). There is concern among producers due to noticeable expansion in geographical array of SDS and the associated potential yield losses. Yield loss due to SDS in the top 10 soybean producing countries varies from 2x103 in Canada to 0x105metric tons in the United States (Wrather et al., 2001). Techniques developed earlier for SDS resistance screening were inconsistent in foliar symptoms expression. Hence, objectives of the study during 2002–2005 were to develop a simple, rapid, repeatable, quantifiable and season independent resistance screening technique to measure relative tolerance of soybean varieties to SDS and understand infection process.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".