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
Emulating the much-praised first edition of Arabidopsis Protocols, leading scientists have generated an up-to-date work that reflects recent advances in plant biology, the completion of the Arabidopsis genome sequence-essential for studying plant function-and the development of whole systems approaches that allow global analysis of gene expression, as well as protein and metabolite dynamics. The authors have included nearly all techniques developed in Arabidopsis, others recently adapted from more traditional work in crop species, and the latest using Arabidopsis as a model system. Highlights include the most recent methods-transcriptomics, proteomics, and metabolomics-and their novel applications (phosphoproteomics, DNA microarray-based genotyping, high throughput metabolite profiling, and single-cell RNA). Traditional protocols from the agricultural sciences and others developed in crop species (grafting and chloroplast transformation) have been adapted to exploit the advantages of the Arabidopsis model. The protocols themselves 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. Indispensable and highly practical, Arabidopsis Protocols, Second Edition offers both novice and experienced plant biologists cutting-edge tools to explore new scenarios and gain an understanding of how this complex, multicellular organism works, how it copes with a sessile life style, and how these strategies compare with those developed in other organisms
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 | 0.000 | 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 it