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Record W4365147887 · doi:10.1515/iupac.94.0932

Minimum Requirements for Publishing Hydrogen, Carbon, Nitrogen, Oxygen and Sulfur Stable-Isotope Delta Results

2023· dataset· en· W4365147887 on OpenAlexaff
Grzegorz Skrzypek, Colin E. Allison, J. K. Böhlke, Luana Bontempo, Paul J. Brewer, Federica Camin, James F. Carter, Michelle M. G. Chartrand, Tyler B. Coplen, Manfred Gröning, Jean‐François Hélie, Germain Esquivel‐Hernández, Rebecca Kraft, Dana Alina Măgdaş, Jacqueline L. Mann, Juris Meija, Harro A. J. Meijer, Heiko Moossen, Nives Ogrinc, Matteo Perini, Antonio Possolo, Karyne M. Rogers, Arndt Schimmelmann, Aldo Shemesh, David X. Soto, Freddy Thomas, Robert Wielgosz, Michael R. Winchester, Philip J. H. Dunn

Bibliographic record

VenueIUPAC Standards Online · 2023
Typedataset
Languageen
FieldEnvironmental Science
TopicIsotope Analysis in Ecology
Canadian institutionsUniversité du Québec à MontréalNational Research Council Canada
Fundersnot available
KeywordsTerminologySulfurStable isotope ratioTraceabilityChemistryCarbon fibersEnvironmental scienceEnvironmental chemistryComputer scienceOrganic chemistryAlgorithmPhilosophySoftware engineering

Abstract

fetched live from OpenAlex

Stable hydrogen, carbon, nitrogen, oxygen and sulfur (HCNOS) isotope compositions expressed as isotope-delta values are typically reported relative to international standards such as Vienna Standard Mean Ocean Water (VSMOW), Vienna Peedee belemnite (VPDB) or Vienna Cañon Diablo Troilite (VCDT). These international standards are chosen by convention and the calibration methods used to realise them in practice undergo occasional changes. To ensure longevity and reusability of published data, a comprehensive description of (1) analytical procedure, (2) traceability, (3) data processing, and (4) uncertainty evaluation is required. Following earlier International Union of Pure and Applied Chemistry documents on terminology and notations, this paper proposes minimum requirements for publishing HCNOS stable-isotope delta results. Each of the requirements are presented with illustrative examples.

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)0.013
metaresearch head score (Gemma)0.064
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.987
Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.064
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0080.013
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0040.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0470.068

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 head0.024
GPT teacher head0.350
Teacher spread0.326 · 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.

Study designNot applicable
DomainReporting
GenreDataset

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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueIUPAC Standards OnlineSame topicIsotope Analysis in EcologyFrench-language works237,207