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Record W6928904744 · doi:10.4224/crm.2022.salt-1

SALT-1: Sea Salt Certified Reference Material for Nutrients in Seawater

2022· other· en· W6928904744 on OpenAlexaffabout

Bibliographic record

VenueNRC Digital Repository · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsSeawaterNutrientCertified reference materialsSea saltSalt (chemistry)

Abstract

fetched live from OpenAlex

SALT-1 is an artificial sea salt Certified Reference Material (CRM) from the National Research Council Canada (NRC) to be used as a proxy for seawater. A unit of SALT-1 consists of approximately 4.1 g of salt powder certified for phosphate, silicate and nitrate. The entire content of the SALT-1 unit should be transferred into a 100 mL plastic volumetric flask and reconstituted in nutrient free purified water. The SALT-1 reconstituted solution has typical properties of seawater and it can be used for calibration, method development, validation, and quality control for the analysis of nutrients in seawater, similar to the NRC MOOS-3.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.063
Threshold uncertainty score0.212

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0040.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0630.097

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 head0.022
GPT teacher head0.249
Teacher spread0.228 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes2
Has abstractyes

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