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Record W2991556043 · doi:10.5066/f7cf9p23

Genetic Data from Arctic, Polar, and Saffron Cod and Walleye Pollock, Alaska and Canada, 2011-2017

2018· article· en· W2991556043 on OpenAlexaboutno aff
Robert E. Wilson

Bibliographic record

VenueUSGS DOI Tool Production Environment · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Industry and Aquatic Biology
Canadian institutionsnot available
Fundersnot available
KeywordsGadusArcticAtlantic codPollockFisheryOceanographyGadidaeThe arcticBiologyEcologyFish <Actinopterygii>Geology

Abstract

fetched live from OpenAlex

Fragment data from 11 nuclear microsatellite loci and sequence data from the mitochondrial cytochrome b gene were gathered from Arctic cod (Boreogadus saida) in the Beaufort and Chukchi seas. Mitogenomic analyses of Arctic cod and three other co-distributed gadoids (Polar cod [Arctogadus glacialis], Saffron cod [Eleginus gracilis], Walleye Pollock [Gadus chalcogrammus]) were also completed. Transcriptomic analyses of Arctic cod were used to identify genes associated with environmental perturbations. Genome-wide scans using RAD-Seq of Arctic cod and the co-distributed Polar Cod were collected.

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.100
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.197
Teacher spread0.168 · 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
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
Published2018
Admission routes1
Has abstractyes

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