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Record W7162781815 · doi:10.5066/p13ykpgg

16S rRNA whole-organism microbiome sequencing for larval insects, adult insects, and riparian spiders collected above and below a per- and polyfluoroalkyl substances (PFAS) source

2022· dataset· W7162781815 on OpenAlexaff
Brittany G. Perrotta, K A Kidd, Carrie E. Givens, L.E. Hubbard, Dana W. Kolpin, Christopher J. Kotalik, Johanna M. Kraus, Gary Lamberti, Alison Zachritz, David Walters

Bibliographic record

VenueUSGS DOI Tool Production Environment · 2022
Typedataset
Language
Field
Topic
Canadian institutionsMcMaster University
Fundersnot available
KeywordsLarvaRiparian zone16S ribosomal RNAMicrobiomeAccession number (library science)MetagenomicsDNA sequencing

Abstract

fetched live from OpenAlex

This data release includes the 16S whole-organism sequencing data for larval aquatic insects, emergent adult insects, and two riparian spiders from upstream and downstream sites of a PFAS (per- and polyfluoroalkyl substances) source (treated industrial wastewater). Data are published on NCBI SRA database under bioproject number PRJNA1257314, Biosample accession numbers SAMN48245356 - SAMN48245463.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.602
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0020.001
Science and technology studies0.0050.003
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.011
GPT teacher head0.200
Teacher spread0.190 · 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
Published2022
Admission routes1
Has abstractyes

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