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Length, weight and abundance data of fish species captured in RMT-25 net surveys in the Scotia Sea, Southern Ocean in 2006, 2008, and 2009

2019· dataset· en· W6950759948 on OpenAlexaboutno aff

Bibliographic record

VenueNERC Environmental Data Service · 2019
Typedataset
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsMesopelagic zoneTransectNova scotiaPolar frontFish <Actinopterygii>Abundance (ecology)Catch per unit effortFront (military)

Abstract

fetched live from OpenAlex

This dataset compiles fish length and weight measurements from the RMT-25 net hauls carried out on Discovery 2010 cruises (JR161, JR177, JR200) in the Scotia Sea, Southern Ocean in spring 2006, summer 2008, and autumn 2009. The dataset comprises of the station net hauls only. Research cruises were led by British Antarctic Survey aboard the RRS James Clark Ross. Net hauls were conducted along a transect from the Antarctic Polar Front to the sea ice zone in the Scotia Sea. Hauls included in this dataset are depth stratified (1000-700 m, 700-400 m, 400-200 m, 200m to surface). Individual fish lengths, and weights were measured on board. Where weights were not measured, length-weight regressions have been used to estimate fish weight. This data set accompanies the paper by Belcher et al. in Marine Ecology Progress Series, titled, Respiration rates and active carbon flux of mesopelagic fishes (Family Myctophidae) in the Scotia Sea, Southern Ocean.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.658
Threshold uncertainty score0.893

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.040
GPT teacher head0.210
Teacher spread0.170 · 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 teacher head, 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
Published2019
Admission routes1
Has abstractyes

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