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Record W2764113317 · doi:10.1088/1361-6382/aaaafa

Effects of data quality vetoes on a search for compact binary coalescences in Advanced LIGO’s first observing run

2018· article· en· W2764113317 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueClassical and Quantum Gravity · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPulsars and Gravitational Waves Research
Canadian institutionsCanadian Institute for Theoretical AstrophysicsUniversity of Toronto
FundersDivision of Human Resource DevelopmentAustralian Research CouncilScience and Technology Facilities CouncilICTP South American Institute for Fundamental ResearchIstituto Nazionale di Fisica NucleareAbdus Salam International Centre for Theoretical PhysicsNemzeti Kutatási Fejlesztési és Innovációs HivatalLeverhulme TrustScottish Funding CouncilRussian Science FoundationInstitut des Origines de LyonMinistero dello Sviluppo EconomicoMinistry of Education, IndiaMax-Planck-GesellschaftNational Research Foundation of KoreaHungarian Scientific Research FundGeneralitat ValencianaCouncil of Scientific and Industrial Research, IndiaCentre National de la Recherche ScientifiqueIndustry CanadaNational Natural Science Foundation of ChinaEuropean CommissionGovern de les Illes BalearsNederlandse Organisatie voor Wetenschappelijk OnderzoekNational Research FoundationRussian Foundation for Basic ResearchEuropean Regional Development FundScottish Universities Physics AllianceNational Research, Development and Innovation OfficeAgencia Estatal de InvestigaciónSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungScience and Engineering Research BoardNational Science Foundation
KeywordsLIGOGravitational wavePhysicsBinary numberBinary black holeMetric (unit)Sensitivity (control systems)Constant false alarm rateDetectorFalse alarmAstrophysicsAstronomyAlgorithmComputer scienceElectronic engineeringArtificial intelligenceOptics

Abstract

fetched live from OpenAlex

Americanae nace como un proyecto conjunto que surge dentro de la Red Europea de Información y Documentación sobre América Latina (REDIAL), y que ha afrontado la Biblioteca de la Agencia Española de Cooperación Internacional para el Desarrollo (AECID). Esta nueva biblioteca virtual hace más accesibles los libros digitales de tema americanista a los investigadores y usuarios interesados de cualquier parte del mundo.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.538
Threshold uncertainty score0.433

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.076
GPT teacher head0.415
Teacher spread0.340 · 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