Bibliographic record
Abstract
Abstract In this article, we study the correspondence between the geometry of del Pezzo surfaces S r and the geometry of the r -dimensional Gosset polytopes ( r − 4) 21 . We construct Gosset polytopes ( r −4) 21 in Pic Sr ꕕ ℚ whose vertices are lines, and we identify divisor classes in Pic S r corresponding to ( a − 1)-simplexes ( a ≤ r ), ( r − 1)-simplexes and ( r − 1)-crosspolytopes of the polytope ( r − 4) 21 . Then we explain how these classes correspond to skew a -lines( a ≤ r ), exceptional systems, and rulings, respectively. As an application, we work on the monoidal transform for lines to study the local geometry of the polytope ( r −4) 21 . And we show that the Gieser transformation and the Bertini transformation induce a symmetry of polytopes 3 21 and 4 21 , respectively.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".