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Record W2566307986 · doi:10.1039/c6ja00302h

GEOTRACES inter-calibration of the stable silicon isotope composition of dissolved silicic acid in seawater

2016· article· en· W2566307986 on OpenAlexafffund
Patricia Grasse, Mark A. Brzezinski, D. Cardinal, Gregory F. de Souza, Per Andersson, Ivia Closset, Zhimian Cao, Minhan Dai, Claudia Ehlert, Nicolas Estrade, Roger François, Martin Frank, Guibin Jiang, Janice L. Jones, Ellen Kooijman, Qian Liu, Dawei Lü, Katharina Pahnke, Emmanuel Ponzevera, Melanie Kielman‐Schmitt, Xiaole Sun, Jill Sutton, François Thil, Dominique Weis, Florian Wetzel, Anyu Zhang, Jing Zhang, Zhouling Zhang

Bibliographic record

VenueJournal of Analytical Atomic Spectrometry · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsPacific Centre for Isotopic and Geochemical ResearchVancouver Biotech (Canada)University of British Columbia
FundersDivision of Ocean SciencesSixth Framework ProgrammeNatural Sciences and Engineering Research Council of CanadaConseil Régional de BretagneNational Science FoundationVetenskapsrådetNational Natural Science Foundation of ChinaDeutsche ForschungsgemeinschaftAgence Nationale de la Recherche
KeywordsGeotracesSilicic acidSeawaterComposition (language)SiliconCalibrationIsotopes of siliconSilicicEnvironmental chemistryChemistryOceanographyGeologyGeochemistryOrganic chemistryVolcano

Abstract

fetched live from OpenAlex

The first inter-calibration study of the stable silicon isotope composition of dissolved silicic acid in seawater, δ 30 Si(OH) 4 , is presented as a contribution to the international GEOTRACES program.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.013
GPT teacher head0.247
Teacher spread0.234 · 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

Citations58
Published2016
Admission routes2
Has abstractyes

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