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
Warner-Bratzler shear (WBS) force measurements on three 19-mm cores of the longissimus were available on 239 composite [0.25 Charolais, 0.25 Simmental, 0.44 British (Angus, Hereford, Shorthorn), 0.06 Limousin] steers. Using an average information restricted maximum likelihood (REML) algorithm, a repeatability model was fit including year of birth × age of dam contemporary group, age at harvest (linear), animal genetic (direct), core within animal, and residual effects to obtain estimates of variance components. The additive relationship matrix included 515 animals. Steers were sired by 74 bulls and were from 202 dams. Estimates of 0.88 and 1.50 kg2 for genetic and core within animal variances, respectively, led to estimates of 0.17 ± 0.16 and 0.30 ± 0.15 for direct heritability and the proportion of phenotypic variance attributable to core within animal effects, respectively. These data provide preliminary evidence that a repeatability model may be appropriate for WBS force.
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 | 0.001 | 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