from DELPHI Measurements at LEP 2
Bibliographic record
Abstract
Infrared and collinear safe event shape measurements and their mean values are determined using the data taken at five different centre of mass energies above M Z with the DELPHI detector at LEP. From the event shapes the strong coupling ff s is extracted in O(ff 2 s ), NLLA and combined schemes using hadronisation corrections obtained with fragmentation model generators as well as using an analytical power ansatz. Comparing these measurements to those obtained at M Z the running of ff s is accessible. Paper submitted to the ICHEP'98 Conference Vancouver, July 22-29 1 Fachbereich Physik, Bergische Universitat-GH Wuppertal Gaustr. 20, 42097 Wuppertal, Germany 1 Introduction From 1995 to 1997 LEP operated at five different centre of mass energies between 130 GeV and 183 GeV. The statistics of hadronic events collected at these energies, though small compared to the statistics collected near the Z resonance, is sufficient for the measurement of event shape distributions and for...
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.021 | 0.009 |
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".