Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Rapid changes and significant progress have been made in the use of Agrobacterium to genetically transform plants for both basic research purposes and agricultural development. In Agrobacterium Protocols, Second Edition, Volumes 1 and 2, a team of leading experts and veteran researchers describe in detail their best techniques for delivering DNA to plant cells and permanently altering their genomes. Volume 1 details the most updated techniques available for twenty-six plant species drawn from cereal crops, industrial plants, legume plants, and vegetable plants, and presents various methods for introducing DNA into three major model plant species, Arabidopsis thaliana, Medicago truncatula, and Nicotiana. The authors also outline the basic methods in Agrobacterium manipulation and strategies for vector construction, major components of plant transformation that are often neglected by many plant biologists. Volume 2 contains another thirty-three proven techniques for root plants, turf grasses, woody species, tropic plants, nuts and fruits, ornamental plants, and medicinal plants. Additional chapters provide methods for introducing DNA into non-plant species, such as bacteria, fungi, algae, and mammalian cells. The protocols follow the successful Methods in Molecular Biology™ series format, each offering step-by-step laboratory instructions, an introduction outlining the principles behind the technique, lists of the necessary equipment and reagents, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and highly practical, Agrobacterium Protocols, Second Edition, Volumes 1 and 2 offers plant biotechnologists a gold standard collection of Agrobacterium-mediated transformation techniques for state-of-the-art plant genetic engineering, functional genomic analysis, and crop improvement, and for inspiration in developing new methods for other related and non-related plants
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.
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 | 0.001 | 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 it