ATLAS data quality operations and performance for 2015–2018 data-taking
Bibliographic record
Abstract
We thank CERN for the very successful operation of the LHC, as well as the support staff from our\n\t\t\t\t institutions without whom ATLAS could not be operated efficiently.\n\t\t\t\t We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia;\n\t\t\t\t BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil;\n\t\t\t\t NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China;\n\t\t\t\t COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and\n\t\t\t\t DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF\n\t\t\t\t and MPG, Germany; GSRT, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center,\n\t\t\t\t Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway;\n\t\t\t\t MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia and NRC KI, Russia\n\t\t\t\t Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZŠ, Slovenia; DST/NRF,\n\t\t\t\t South Africa; MINECO, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and\n\t\t\t\t Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom;\n\t\t\t\t DOE and NSF, United States of America. In addition, individual groups and members have\n\t\t\t\t received support from BCKDF, CANARIE, Compute Canada and CRC, Canada; ERC, ERDF,\n\t\t\t\t Horizon 2020, Marie Skłodowska-Curie Actions and COST, European Union; Investissements\n\t\t\t\t d’Avenir Labex, Investissements d’Avenir Idex and ANR, France; DFG and AvH Foundation,\n\t\t\t\t Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek\n\t\t\t\t NSRF, Greece; BSF-NSF and GIF, Israel; CERCA Programme Generalitat de Catalunya and\n\t\t\t\t PROMETEO Programme Generalitat Valenciana, Spain; Göran Gustafssons Stiftelse, Sweden;\n\t\t\t\t The Royal Society and Leverhulme Trust, United Kingdom.\n\t\t\t\t The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC\n\t\t\t\t (Spain), ASGC (Taiwan), RAL (U.K.) and BNL (U.S.A.), the Tier-2 facilities worldwide and large\n\t\t\t\t non-WLCG resource providers. Major contributors of computing resources are listed in ref. [40].
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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 | 0.022 | 0.038 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 0.020 |
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".