Space-filling Latin Hypercube Designs based on Randomization\n Restrictions in Factorial Experiments
Why this work is in the frame
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Bibliographic record
Abstract
Latin hypercube designs (LHDs) with space-filling properties are widely used\nfor emulating computer simulators. Over the last three decades, a wide spectrum\nof LHDs have been proposed with space-filling criteria like minimum correlation\namong factors, maximin interpoint distance, and orthogonality among the factors\nvia orthogonal arrays (OAs). Projective geometric structures like spreads,\ncovers and stars of PG(p-1,q) can be used to characterize the randomization\nrestriction of multistage factorial experiments. These geometric structures can\nalso be used for constructing OAs and nearly OAs (NOAs). In this paper, we\npresent a new class of space-filling LHDs based on NOAs derived from stars of\nPG(p-1, 2).\n
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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