Bibliographic record
Abstract
Genetic diversity of 34 Avena sativa varieties and 8 A.nuda varieties from China,Canada,Australia,Europe and other countries was studied using amplified fragment length polymorphism(AFLP).Five primer pairs with higher polymorphic were selected from 30 EcoRI/MseI primers,268 AFLP markers were generated and 185 were polymorphic(69.0%).The highest polymorphic rate was 78.6% with primer E-AGG/M-CTA.In Nei's index calculation,the average variation coefficient was 0.166 4 and Shannon diversity index was 0.220 6.All cultivars Pairwise similarity coefficient varied from 0.488 1 to 0.988 0,with 0.012 0-0.717 2 genetic distance.The fingerprinting data were further analyzed using UPGMA methods which clustered the 42 varieties into six main distinct groups at 0.748 genetic similarity coefficients.A.sativa and A.nuda were divided into two groups at 0.59,which was in accordance with traditional classification.The genetic relationship revealed by AFLP was consistent with original sources;genetic distance was closely associated with geographical distributions.
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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 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".