Bibliographic record
Abstract
Twelve different genotype F1 maize materials were crossed by pollen from haploid induction line to test their ability to produce haploid and to spontaneous chromosome doubling.The difference of haploid induction rates and self-seed rates was analyzed in this paper.Results indicated that the haploid induction rates and self-seed rates among different genotype differ greatly.The highest haploid induction rate is 11.03% while the lowest is 3.34%.The highest self-seed rate is 13.20% while the lowest is 2.61%.The results also showed that the difference of haploid induction rates was insignificant in the two reciprocal cross,but the self-seed rate was significant in one reciprocal cross,up to 3.34%.At the same time,there was significant correlation between the haploid tassel doubling rates and the self-seed rates.The anther scattered pollen normally was in the majority in self-seed plant,up to 89.52%.
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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) | 0.000 | 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 | 0.000 |
| 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 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".