Bibliographic record
Abstract
Breeding 3.0, the stage of breeding based on precise genotype selection and genetic and genomic data, represents a significant technological shift in the field of plant breeding, transforming traditional phenotypic selection into genotype selection to enhance selection efficiency and accuracy. The beginning of Breeding 3.0 can be traced back to approximately 1995 when molecular markers and genomic data were used to supplement phenotype data. Iconic academic achievements, such as the construction of saturated linkage maps in rice and breakthroughs in rice whole genome sequencing, marked the early stages of Breeding 3.0. The methodological framework of Breeding 3.0 includes marker-assisted backcrossing and pedigree confirmation, the application of linkage maps in unraveling complex traits, and advancements in high-throughput genotyping. The integration of genetic and genomic data confers advantages in precision and efficiency to Breeding 3.0. Genotype-based breeding approaches provide new avenues for improving plant varieties, while genome-wide selection enables the analysis of complex quantitative traits.
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".