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
The aesthetic value and persistence of turfgrass are important traits that are markedly influenced by low temperature (LT), and as a consequence, intensive research is being conducted to unravel the biochemical and genetic factors related to LT stress. The understanding of the mechanisms of superior tolerance will facilitate the development of cultivars and management practices that enhance turfgrass fitness under cold conditions. Improvements in LT tolerance will reduce the costs of repair, seeding, plugging, sprigging, and sodding of damaged surfaces and, in the case of turf used for recreational activities, prevent the damage that disrupts play in the spring. This chapter provides an overview of the current status of knowledge about turfgrass adaptation to cold and the new technologies for improving the LT tolerance of turfgrasses. Protective covers are very efficient in preventing excess water, desiccation, and extreme freezing temperatures at the crown level of the turf, thereby increasing turfgrass tolerance to winter conditions.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.134 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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