Genetic potentials of wheat flour RVA pasting characteristics and cluster analysis
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
Seven RVA (Rapid Visco-Analyser) parameters of eighty-four wheat varieties (lines) were analyzed, the results showed: different varieties (lines) possessed significantly different RVA paste visco-properties; all the RVA paste visco-properties had high broad heretability; eighty0four varieties (lines) were clustered into three characteristically different groups based on seven RVA parameters, which had the similar clustering results if based on only peak viscosity, trough viscosity and final viscosity of them. Those varieties (lines) which had similar ecological origins clustered, that is, the majority of varieties from southern areas gathered, which exhibited higher RVA parameters and lower coefficients of variation, and mot of varieties from northern areas and Canada had similar tendency, but they were characteristics of lower RVA parameters and higher coefficients of variation. The rest flocked together, which showed the lowest RVA parameters and highest coefficients of variation, and in this group, final viscosity was higher than or close to peak viscosity. The RVA paste visco-properties of three different groups had the following tendency: Group I (mainly from southern areas)>Group II (mainly from northern areas)>Group III (special group).
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| 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