Nearly Optimal Orthogonally Blocked Designs for Four Mixture Components Based on F-Squares
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Bibliographic record
Abstract
Abstract Prescott (Citation1998) discussed nearly optimal orthogonally blocked designs based on latin squares for mixtures involving three and four components. Aggarwal et al. (Citation2009a) studied orthogonal blocking of blends for Scheffé's quadratic model using F-squares for the case when some components assume equal volume fractions and presented a general method for obtaining mates that are required to construct orthogonal blocks using F-squares. In this article, we obtain nearly D-, A-, and E-optimal orthogonally blocked designs in two blocks based on F-squares for four component mixtures for Scheffé's quadratic, Becker's models, Darroch and Waller's quadratic, and K-mixture models. Keywords: A-optimalityBecker's modelsDarroch and Waller's modelD-optimalityE-optimalityF-squaresK-modelMixture experimentsOrthogonal blockingScheffé modelMathematics Subject Classification: 62K1062K15 Acknowledgments The authors are very grateful to the Editor and the referees for making extremely useful suggestions and comments which resulted in considerable improvement in the presentation of the article.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
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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