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Record W3038989230 · doi:10.1080/17451000.2020.1771598

Pelagic anglerfishes (Lophiiformes: Ceratioidei) of The Gully Marine Protected Area

2020· article· en· W3038989230 on OpenAlexaffabout
Trevor Kenchington, Daphne E. Themelis, Shannon C. DeVaney, Theodore W. Pietsch

Bibliographic record

VenueMarine Biology Research · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicIchthyology and Marine Biology
Canadian institutionsBedford Institute of OceanographyFisheries and Oceans Canada
Fundersnot available
KeywordsBathyal zonePelagic zoneCanyonFaunaSubmarine canyonOceanographyBiodiversityGeographyPlanktonFisheryGeologyBenthic zoneEcologyCartographyBiology

Abstract

fetched live from OpenAlex

A listing of the ceratioid anglerfishes occurring in and around The Gully, a submarine canyon and Marine Protected Area (‘MPA’) off the coast of Nova Scotia that has been reserved to protect its biodiversity, is provided. The compilation was based on 138 specimens, including members of at least 24 species, collected during four midwater-trawl surveys at meso- and bathypelagic depths, supplemented by previous records from the surrounding region. The Gully specimens included seven new records for Canadian waters, two representing major extensions of reported ranges for Bufoceratias wedli and Gigantactis herwigi. In all, more than 40 species, a quarter of the global total of ceratioids, have either been confirmed as occurring in the MPA or can be anticipated as being present occasionally. However, most of the species are effectively planktonic and are carried through the MPA by along-slope and up-canyon currents, without receiving effective protection while in the Area. As iconic examples of the deep-sea fauna, they nevertheless remain important to the MPA’s public-outreach functions.

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)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.362

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.057
GPT teacher head0.298
Teacher spread0.241 · 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
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

Citations4
Published2020
Admission routes2
Has abstractyes

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