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Record W6907506440 · doi:10.21966/rr8v-6y52

Fatty acids of particulate matter collected from 2015 to 2018 near Quadra Island, British Columbia, Canada

2015· dataset· en· W6907506440 on OpenAlexaffabout

Bibliographic record

VenueHakai Institute · 2015
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsParticulatesSeawaterFatty acidSampling (signal processing)Surface water

Abstract

fetched live from OpenAlex

This dataset presents fatty acids of particulate organic matter collected from station QU39 from 2015 to 2018. The first sample collection on March 13, 2015 was done at Hakai Institute station QU24 and all subsequent collections were done at the nearby QU39. Water for POM fatty acid analysis was collected from multiple depths in the 30 m surface layer and combined for analysis resulting in one measurement per sampling date. For each sample, approximately 10 L of seawater total were filtered on to previously combusted GF/F filters. Fatty acids were analyzed at the Fisheries and Oceans Canada (DFO) Pacific Science Enterprise Centre as fatty acid methyl esters, separated using an Agilent CP-Sil 88 column, and quantified with a gas chromatograph (SCION 436) equipped with a flame ionization detector. Detailed information on methods are available in McLaskey et al. in prep.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.072
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.016

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 head0.015
GPT teacher head0.238
Teacher spread0.223 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
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

Citations0
Published2015
Admission routes2
Has abstractyes

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