Evaluation of Soybean Varieties in the Northern SCN Regional Soybean Test—SCN Regional Test IIin West Central Iowa
Bibliographic record
Abstract
The Northern SCN Uniform/Preliminary (UT/PT) Regional Soybean Test is used to evaluate soybean varieties produced by public breeding programs in the northern portion of the United States and Canada. Lines are evaluated in locations with moderate to high SCN pressure. In 2015, five public breeding programs participated in the Northern SCN UT-PT II Trials (Uniform Test II and Preliminary Test II). Public breeders are allowed to enter varieties into the UT-PT Trials in exchange for growing locations for the trial. Material entered into the UT-PT Test is generally in advanced stages of a breeding program. Lines are evaluated one year in Preliminary Testing before being entered in Uniform Tests. Lines usually are evaluated in Uniform trials for two or three years prior to release as new varieties. The UT-PT Soybean Trials are an efficient method for soybean breeders to have a wider geographic range of field evaluations on advanced lines and to evaluate advanced lines from other public programs, which could be used as parents in future crossing. These results also are used in cultivar releases, publications, and publicity, once a variety is released.
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| 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".