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Record W3096784160 · doi:10.3847/2041-8213/abe949

Population Properties of Compact Objects from the Second LIGO-Virgo Gravitational-Wave Transient Catalog

2021· article· en· W3096784160 on OpenAlexfundno aff

Bibliographic record

VenueResearch Portal (King's College London) · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPulsars and Gravitational Waves Research
Canadian institutionsnot available
FundersDivision of Human Resource DevelopmentScience and Technology Facilities CouncilICTP South American Institute for Fundamental ResearchVlaamse regeringMinistry of Education, IndiaNational Research Foundation of KoreaHungarian Scientific Research FundGeneralitat ValencianaFonds Wetenschappelijk OnderzoekCentres de Recerca de CatalunyaIndustry CanadaIstituto Nazionale di Fisica NucleareGeneralitat de CatalunyaNational Natural Science Foundation of ChinaNational Research, Development and Innovation OfficeAgencia Estatal de InvestigaciónSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungEuropean CommissionNemzeti Kutatási Fejlesztési és Innovációs HivatalAbdus Salam International Centre for Theoretical PhysicsGovern de les Illes BalearsNederlandse Organisatie voor Wetenschappelijk OnderzoekAgence Nationale de la RechercheCentre National de la Recherche ScientifiqueCouncil of Scientific and Industrial Research, IndiaNational Research FoundationFonds De La Recherche Scientifique - FNRSRussian Foundation for Basic ResearchRussian Science FoundationLeverhulme TrustScottish Funding CouncilMinistero dello Sviluppo EconomicoInstitut des Origines de LyonEuropean Regional Development FundScottish Universities Physics AllianceScience and Engineering Research BoardNational Science Foundation
KeywordsPhysicsLIGOGravitational waveAstrophysicsSpinsPopulationBinary black holeAngular momentumBinary numberQuantum mechanicsCondensed matter physics

Abstract

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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 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 score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.047
GPT teacher head0.338
Teacher spread0.290 · 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

Citations10
Published2021
Admission routes1
Has abstractyes

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