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Record W4318140184 · doi:10.3929/ethz-b-000616050

Measurement of isotopic separation of argon with the prototype of the cryogenic distillation plant Aria for dark matter searches

2023· preprint· en· W4318140184 on OpenAlexfundno aff

Bibliographic record

VenuearXiv (Cornell University) · 2023
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicDark Matter and Cosmic Phenomena
Canadian institutionsnot available
FundersPacific Northwest National LaboratoryLaboratori Nazionali del Gran SassoInstitut National de Physique Nucléaire et de Physique des ParticulesFermilabLabex UnivEarthSScience and Technology Facilities CouncilNatural Sciences and Engineering Research Council of CanadaOffice of ScienceIstituto Nazionale di Fisica NucleareMinisterio de Ciencia e InnovaciónConselho Nacional de Desenvolvimento Científico e TecnológicoNational Natural Science Foundation of ChinaBattelleAgence Nationale de la RechercheEuropean Regional Development FundU.S. Department of EnergyFundacja na rzecz Nauki PolskiejEuropean CommissionChinese Academy of SciencesNational Science FoundationRoyal SocietyFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsArgonDistillationWIMPDark matterAir separationDetectorIsotopes of argonNational laboratoryEnvironmental sciencePhysicsNuclear engineeringNuclear physicsAnalytical Chemistry (journal)ChemistryChromatographyEngineeringAstrophysicsOpticsAtomic physicsEngineering physics

Abstract

fetched live from OpenAlex

Parallel Talk presented at the XX International Workshop on Neutrino Telescopes - Venice 23-27 October 2023

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.077
GPT teacher head0.205
Teacher spread0.128 · 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 designBench or experimental
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

Citations2
Published2023
Admission routes1
Has abstractyes

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