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
Three reliable methods are explained for estimating different types of cold hardiness in Malus. They include: 1) a whole plant controlled freezing experiment for the assessment of low mid-winter injury, 2) electrical impedance spectroscopy (Z), for the estimation of multiple freeze-thaw cycling injury and 3) a controlled freezing protocol to facilitate the rapid screening of large populations of Malus seedlings. The aim of this manuscript is not the results of these three methods but rather the description of the methods for cold hardiness testing. With the first method, plant mortality and morbidity (shoot, trunk and root regrowth) proved to be good indicators for evaluating low mid-winter cold hardiness. Of these, incremental root growth was the most sensitive to cold temperatures. The results from this study were validated by the good correlations between the laboratory findings and the 2004 field survival data from New York, USA following a test winter. The next method, Z, used root pieces of Ottawa 3 subjected to one, two and three controlled freeze-thaw cycles at temperatures of -3, -6, -9 and -12°C. Root tissue integrity, as measured by Z, was severely reduced with multiple events of freeze-thaw cycling and confirms that freeze-thaw cycling is more detrimental to apple rootstock viability than periods of constant freezing. Screening for cold hardiness in seedlings of Malus, 16–20 weeks after radicle emergence, was the third method and holds promise in segregating large... [to full text]
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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