Bibliographic record
Abstract
RAPD assessment of genetic variations in 33 varieties of banana ( Musa nana Lour.) was carried out. Eighteen primers were screened from 249 10 bp arbitrary primers, and a total of 192 DNA bands were amplified, among which 183 (95.31%) were polymorphic. The average number of DNA bands amplified by each primer was 10.67, and the average genetic distance among 33 varieties was 0.341 2. Based on UPGMA cluster analysis of 192 DNA bands amplified by 18 primers a DNA molecular dendrogram was established for 33 varieties of banana in China, which divided the 33 varieties into four groups: group A,B,C and D. Group A included 20 varieties, group B included 5 varieties, group C included 2 varieties and group D included 6 varieties. Group A could be divided into 3 sub_groups: A1, A2 and A3. The molecular foundation of genetic diversity of banana was also explored.
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 | 0.002 |
| 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) | 0.006 | 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".