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Record W7030371039

Multimessenger Search for Sources of Gravitational Waves and High-Energy Neutrinos: Results for Initial LIGO-Virgo and IceCube

2014· article· en· W7030371039 on OpenAlexfundno aff

Bibliographic record

VenueMax Planck Digital Library · 2014
Typearticle
Languageen
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsnot available
FundersJapan Society for the Promotion of ScienceScience and Technology Facilities CouncilNatural Sciences and Engineering Research Council of CanadaHelmholtz Alliance for Astroparticle PhysicsIstituto Nazionale di Fisica NucleareKnut och Alice Wallenbergs StiftelseNational Research Foundation of KoreaHungarian Scientific Research FundMinisterio de Economía y CompetitividadMarsden FundScottish Universities Physics AllianceBundesministerium für Bildung und ForschungNational Aeronautics and Space AdministrationDanmarks GrundforskningsfondSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science FoundationBelgian Federal Science Policy OfficeDeutsche ForschungsgemeinschaftCentre National de la Recherche ScientifiqueCouncil of Scientific and Industrial Research, IndiaNational Research FoundationIndustry CanadaVlaamse regeringUniversity of OxfordWestern Canada Research GridFundacja na rzecz Nauki PolskiejCompute CanadaMinistero dello Sviluppo EconomicoInstitut des Origines de LyonLeverhulme TrustScottish Funding CouncilFonds De La Recherche Scientifique - FNRSGovern de les Illes BalearsNederlandse Organisatie voor Wetenschappelijk OnderzoekPolarforskningssekretariatetOffice of Polar ProgramsAlfred P. Sloan FoundationFonds Wetenschappelijk OnderzoekVetenskapsrådetU.S. Department of Energy
KeywordsLIGOGravitational waveNeutrinoRange (aeronautics)DetectorLimit (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

0

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.201
Teacher spread0.192 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2014
Admission routes1
Has abstractyes

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