Bibliographic record
Abstract
Masters Report Univer sity of Toronto Department of Physics August 21, 2008 A Study of Jet and Missing Transv erse Ener gy Reconstruction and Data Cleaning Techniques on ATLAS Calorimeter Cosmic Ray Data Travis Bain 995981834 Abstract Monte Carlo generated QCD jets, and jets reconstructed from cosmic ray data are analyzed and compared. This comparison allo ws some of the rst opportunities to run through a full study , from data collection, to reconstruction, to analysis, within ATLAS, using real events. The ability to handle data at every step of the way will be crucial in achie ving a ìsteady-stateî mode of operation in the coming months and years of ATLAS operation. The use of electromagnetic fractions as a data cleaning technique within the ATLAS calorimeter system is also studied and sho wn to be a rob ust tool in remo ving high ener gy cosmic ray events as a background from jet and E Miss T distrib utions
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".