MétaCan
Menu
Back to cohort
Record W2920938824 · doi:10.1039/c8ja00451j

Intercomparison measurements of two <sup>33</sup>S-enriched sulfur isotope standards

2019· article· en· W2920938824 on OpenAlexaff
Lei Geng, Joël Savarino, Nicolas Caillon, Elsa Gautier, James Farquhar, James Dottin, Nívea Magalhães, Shohei Hattori, Sakiko Ishino, Naohiro Yoshida, Francis Albarède, Emmanuelle Albalat, Pierre Cartigny, Shuhei Ono, M. H. Thiemens

Bibliographic record

VenueJournal of Analytical Atomic Spectrometry · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGroundwater and Isotope Geochemistry
Canadian institutionsEnvironment and Climate Change Canada
FundersH2020 Marie Skłodowska-Curie ActionsCiência sem FronteirasNational Key Research and Development Program of ChinaCentre National de la Recherche ScientifiqueUniversity of Science and Technology of ChinaGoverno BrasilNational Natural Science Foundation of ChinaEuropean CommissionJapan Society for the Promotion of ScienceAgence Nationale de la RechercheNational Science Foundation
KeywordsSulfurIsotopeNormalization (sociology)ChemistryRadiochemistryEnvironmental chemistryAnalytical Chemistry (journal)Nuclear physicsPhysics

Abstract

fetched live from OpenAlex

Isotopic compositions of two S-33 enriched sulfur standards were assessed for the normalization of Δ<sup>33</sup>S and Δ<sup>36</sup>S data, to fulfill the need of accurate message extraction from S-MIF signals in atmospheric and geological samples.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.019
GPT teacher head0.264
Teacher spread0.245 · 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 teacher head, not a consensus.

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

Citations20
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Analytical Atomic SpectrometrySame topicGroundwater and Isotope GeochemistryFrench-language works237,207