MétaCan
Menu
Back to cohort
Record W2064481252 · doi:10.1088/0026-1394/51/3/161

Molar-mass measurement of a<sup>28</sup>Si-enriched silicon crystal for determination of the Avogadro constant

2014· article· en· W2064481252 on OpenAlexfundno aff
Tomohiro Narukawa, Akiharu Hioki, Naoki Kuramoto, Kenichi Fujii

Bibliographic record

VenueMetrologia · 2014
Typearticle
Languageen
FieldDecision Sciences
TopicScientific Measurement and Uncertainty Evaluation
Canadian institutionsnot available
FundersNational Research Council Canada
KeywordsAvogadro constantTetramethylammonium hydroxideMolar massCrystal (programming language)Analytical Chemistry (journal)Isotope dilutionAtomic massMass spectrometryMaterials scienceStandard uncertaintyMetrologyIsotopeInductively coupled plasma mass spectrometryMeasurement uncertaintyChemistryPhysicsAtomic physicsNuclear physicsOpticsNanotechnologyChromatographyThermodynamics

Abstract

fetched live from OpenAlex

The molar mass of a 28 Si-enriched crystal was measured at the National Metrology Institute of Japan to determine the Avogadro constant by the x-ray crystal density method as part of the International Avogadro Coordination project. The molar mass was determined by isotope ratio measurements using a multicollector inductively coupled plasma mass spectrometer combined with an isotope dilution technique. The 28 Si-enriched crystal was dissolved in tetramethylammonium hydroxide and three different blended solutions were used to correct for mass bias in the measurement. The molar mass of the 28 Si-enriched crystal was determined to be 27.976 970 09 g mol −1 with a standard uncertainty of 0.000 000 14 g mol −1 . This corresponds to a relative standard uncertainty of 5.2 × 10 −9 . This result is consistent with measurements reported by the Physikalisch-Technische Bundesanstalt, Germany.

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)0.003
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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.166
GPT teacher head0.353
Teacher spread0.187 · 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

Citations42
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueMetrologiaSame topicScientific Measurement and Uncertainty EvaluationFrench-language works237,207