Bibliographic record
Abstract
Calculations of central exclusive production are affected by very large perturbative and nonperturbative corrections. In this talk, we summarize the results of a study of the uncertainties on these corrections in the case of exclusive dijet production. 1 Central Exclusive Calculation and Data At the end of 2007, the CDF collaboration working at the Tevatron p¯p collider published 1 data on exclusive dijet events. This kind of events is characterized by a large rapidity gap between the two-jet system and the remaining proton and antiproton. Such hadronic diffractive processes, p + ¯p → p + gap + X + gap + ¯p, (1) are dominated at high energy by the exchange of a colour singlet trajectory with the quantum numbers of the vacuum, the pomeron. Practically, and contrarily to inelastic processes where each particle is hidden in numerous products of the reaction, the final proton and antiproton (or the remnants) are separated in the forward detectors and the system centrally produced is isolated. The CDF central exclusive dijet cross section is plotted in Fig. 1 as a function of the minimum transverse energy of the jets. It is a rather small cross section but it corresponds to 2.10 5 exclusive dijet events at the Tevatron Run II luminosity. This mode of production is interesting
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".