Bibliographic record
Abstract
Stability analysis for characters of 45 combination in a multi-site NCII experiment, and correlation analysis for the relationship of the characters' stability performance indicate: ①Characters' stability performance varies for varieties; for one variety, different character has different performance in stability; ②No evident correlation between characters' behaves and its stability performances. High yield combinations have more stability for Panicle length and 1000 grain weight but less stability for Spikelets per. panicle, Ear weight and the Percentage of filled grain; If only for stability, the short, small eared combinations, which have rather higher 1000 grain weight and Percentage of filled grain, will be stable for grain yield; ③Most characters have non prominent relationship for stability performance. Comparatively, spikelets per. panicle, 1000 grain weight, Grains' density and Ear weight have more accordance for stability performance.
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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) | 0.001 | 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".