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Record W2104593164 · doi:10.1656/045.019.0204

Species Composition and Relative Abundance of the Mesopelagic Fish Fauna in the Slope Sea off Nova Scotia

2012· article· en· W2104593164 on OpenAlexaffabout
Daphne E. Themelis, R. G. Halliday

Bibliographic record

VenueNortheastern Naturalist · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsBedford Institute of OceanographyFisheries and Oceans Canada
Fundersnot available
KeywordsMesopelagic zoneAbundance (ecology)Relative species abundanceFaunaOceanographyContinental shelfEcologyFisheryEnvironmental scienceGeographyBiologyGeologyPelagic zone

Abstract

fetched live from OpenAlex

The mesopelagic fish fauna in the Slope Sea off the Canadian continental shelf from 50° to 64°W is documented based on 10 surveys conducted in 1984–89. Species composition and relative species abundance by water mass (Labrador Slope Water [LSW], Warm Slope Water [WSW], and Gulf Stream), and their variation with season and fishing depth, are described. The most abundant species in collections was Ceratoscopelus maderensis, and this species dominated in WSW samples, but Benthosema glaciale was the predominant species in LSW samples. Gulf Stream samples were few and represented boundary conditions. Those species that were common in catches showed a seasonal variation in catch rate. Species composition varied with depth fished, deeper tows containing species, such as Cyclothone spp., that did not migrate to surface layers at night. The collections were comprised of at least 250 species. Although many of them have been reported from adjacent areas to the southwest, 35% of these species are new records for the sampled area, and 19 species are new records for the Slope Sea. Although a species accumulation curve indicates that more species would have been captured with additional sampling, it is likely that all species that occur regularly in the study area are represented in the species list.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.019
GPT teacher head0.246
Teacher spread0.227 · 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.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations9
Published2012
Admission routes2
Has abstractyes

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