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Record W4252284261 · doi:10.21468/scipost.report.1710

Report on 2003.07868v2

2020· peer-review· en· W4252284261 on OpenAlexaff
Waleed Abdallah, Shehu AbdusSalam, A. I. Ahmadov, Amine Ahriche, B. C. Allanach, Jack Y. Araz, Alexandre Arbey, Chiara Arina, Peter Athron, Emanuele Bagnaschi, Y. Bai, Michael J. Baker, Csaba Balázs, Daniele Barducci, P. Bechtle, Aoife Bharucha, A. G. Buckley, J. M. Butterworth, Haiying Cai, C. Campagnari, Cari Cesarotti, M. Chrząszcz, A. Coccaro, E. Conte, Jonathan M. Cornell, L. D. Corpe, M. Danninger, Luc Darmé, Aldo Deandrea, Nishita Desai, Barry M. Dillon, C. Doglioni, Juhi Dutta, John Ellis, Sebastian A. R. Ellis, M. Feickert, Nicolas Fernandez, S. Fichet, Jernej F. Kamenik, Thomas Flacke, Benjamin Fuks, A. Geiser, M. H. Genest, Akshay Ghalsasi, Tomás E. Gonzalo, Mark D. Goodsell, Stefania Gori, P. Gras, Admir Greljo, Diego Guadagnoli, S. Heinemeyer, L. Heinrich, Jan Heisig, Deog Ki Hong, T. Hryn’ova, Katri Huitu, P. Ilten, Ahmed Ismail, Adil Jueid, Felix Kahlhoefer, J. Kalinowski, D. Kar, Yevgeny Kats, Charanjit K. Khosa, V.A. Khoze, T. Klingl, Pyungwon Ko, Kyoungchul Kong, Wojciech Kotlarski, Michael Krämer, Sabine Kraml, Suchita Kulkarni, Anders Kvellestad, C. Lange, K. Lassila-Perini, Seung Lee, André Lessa, Zhen Liu, L. Lloret Iglesias, J. Lorenz, D. M. Mac Donell, F. Mahmoudi, J. Mamuzic, Andrea Carlo Marini, P. Markowitz, Pablo Martinez Ruiz, D. W. Miller, V. A. Mitsou, Stefano Moretti, Marco Nardecchia, S. Neshatpour, Dao Thi Nhung, P. Osland, P. Owen, Orlando Panella, А. А. Панков, Myeonghun Park, Werner Porod, D. Price, H. Prosper, Are Raklev, Jürgen Reuter, Humberto Reyes-González, Thomas G. Rizzo, Tania Robens, Juan Rojo, Janusz Rosiek, Oleg Ruchayskiy, Verónica Sanz, Kai Schmidt-Hoberg, Pat Scott, S. Sekmen, Dipan Sengupta, E. Sexton-Kennedy, Hua-Sheng Shao, Seodong Shin, L. Silvestrini, Ritesh K. Singh, S. Sinha, Jory Sonneveld, Yotam Soreq, G. H. Stark, Tim Stefaniak, Jesse Thaler, Riccardo Torre, E. Torrente-Luján, G. Ünel, Natascia Vignaroli, W. Waltenberger, N. Wardle, G. Watt, G. Weiglein, M. J. White, S. Williamson, Jonas Wittbrodt, Lei Wu, Stefan Wünsch, Tevong You, Yang Zhang, José Zurita

Bibliographic record

Venuenot available
Typepeer-review
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsSimon Fraser UniversityConcordia University
FundersFermilabInstitut National de Physique Nucléaire et de Physique des ParticulesAustrian Science FundNational Research Foundation of KoreaFonds De La Recherche Scientifique - FNRSFundação de Amparo à Pesquisa do Estado de São PauloCERNDeutsche ForschungsgemeinschaftNational Research FoundationScience and Technology Facilities CouncilEuropean CommissionCentre National de la Recherche ScientifiqueRoyal Society
KeywordsReinterpretationLarge Hadron ColliderContext (archaeology)ImplementationPresentation (obstetrics)SoftwareData scienceComputer scienceSet (abstract data type)Systems engineeringPhysicsSoftware engineeringEngineeringParticle physicsGeography

Abstract

fetched live from OpenAlex

reinterpretation of searches and measurements at the LHC in terms of models for new physics, in the context of the LHC Reinterpretation Forum.We detail current experimental offerings in direct searches for new particles, measurements, technical implementations and Open Data, and provide a set of recommendations for further improving the presentation of LHC results in order to better enable reinterpretation in the future.We also provide a brief description of existing software reinterpretation frameworks and recent global analyses of new physics that make use of the current data.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.890
Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0070.003
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.8900.893

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.

Opus teacher head0.029
GPT teacher head0.322
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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