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Record W1565663557 · doi:10.22621/cfn.v126i3.1362

First Specimens of the Marine Eels <em>Venefica ocella</em> and <em>V. tentaculata</em> (Nettastomatidae) from British Columbia

2013· article· en· W1565663557 on OpenAlexafffundvenueabout
Gavin F. Hanke, Steven Roias

Bibliographic record

VenueThe Canadian Field-Naturalist · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsRoyal British Columbia Museum
FundersFisheries and Oceans CanadaUniversity of Washington
KeywordsFisheryGeographyAnguilla rostrataFish <Actinopterygii>Biology

Abstract

fetched live from OpenAlex

Until recently, only the following seven species of marine eels were known to exist in waters off British Columbia (based on literature sources and museum records): Nemichthys scolopaceus, and Avocettina infans (Nemichthyidae, snipe eels), Xenomystax atrarius (Congridae, conger eels), Serrivomer jesperseni (Serrivomeridae, sawtooth eels), Cyema atrum (Cyematidae, bobtail eels), Synaphobranchus affinis (Synaphobranchidae, cutthroat eels), and Thalassenchelys coheni (Colocongridae, worm eels). Histiobranchus bathybius (also in the Synaphobranchidae) is expected to occur in British Columbia, since its range extends from Mexico to Alaska. Recent surveys to determine the viability of crab fisheries facilitated the collection of non-game fishes from by-catch in bottom-trawl samples. Several eels were collected between 2004 and 2006, and they were originally identified as Serrivomer jesperseni (Serrivomeridae). Re-examination of these specimens indicates that they all are duckbill eels (Nettastomatidae), the first records of this family north of 45°39'N along the North American Pacific coast. Both Venefica ocella and V. tentaculata are represented, with V. ocella found farther north than V. tentaculata. All British Columbia specimens are housed at the Royal British Columbia Museum. The collection of new deep-water species in British Columbia reinforces the value of survey sampling to improve our knowledge of biodiversity.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0960.001

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 head0.009
GPT teacher head0.194
Teacher spread0.186 · 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 designNot applicable
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

Citations8
Published2013
Admission routes4
Has abstractyes

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