Study of hybridization between varieties with exchangeable supply in high-yield disease resistance and good quality.
Bibliographic record
Abstract
In order to breed a new wheat variety with good quality,high yield and disease resistance,Hybridization between Gui-nong 001 with large spike,big grain,short stem,immune to stripe rust and powdery mildew,HMW-GS composed of null,7+9,5+10 and Canada variety Blosky with small grain,high stem,medium resistance to stripe rust and powdery mildew,HMW-GS comprised null,7+8,5+10 had been done and large number of character exchangeable supply types and over-parent types appeared in F4 such as the type of average 60-80 grains per the main spike,thousand grain-weight 48-50 g,plant hight 65-70 cm and immune to stripe rust and powdery mildew,and over-parent types of HMW-GS subunit were 1,7+8,5+10;1,7+9,5+10;1,7+8+9,2+12;Null,7+9,5+10,2+12;and 1,7+9,5+2+12.
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".