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Record W6931378468 · doi:10.5281/zenodo.5818684

Somniosus pacificus Bigelow & Schroeder 1944

2021· article· en· W6931378468 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and genetic disorders
Canadian institutionsnot available
Fundersnot available
KeywordsIntertidal zonePacific oceanIndian oceanShorePelagic zone

Abstract

fetched live from OpenAlex

Somniosus pacificus Bigelow & Schroeder, 1944. Mud Shark or Pacific Sleeper Shark. To at least 4.3 m (14.1 ft) (Ebert 1987), with unconfirmed, deep-water observations to 7.0 m (23 ft) (Yano et al. 2007). Taiwan to Bering Sea to south-eastern Chukchi Sea (66°20’ N, 165°47’W), and on Russian side of southern Chukchi Sea (Mecklenburg and Steinke 2015) to Pacific Ocean off southern Baja California (Compagno 1984). Possible hybrids of this species and Somniosus microcephalus (Bloch & Schneider, 1801) have been taken somewhat west of Baffin Bay, eastern Canada (Hussey et al. 2015). There is one anecdotal report of a large shark (possibly this species) that was taken near Tuktoyaktuk, northwest Territory, Canada (Reist in Coad and Reist 2018). Reports of S. pacificus as far south as Pisco, Peru (Chirichigno and Vélez 1998) and Bahía de San Antonio, Chile (33°35’S) (Brito 2004a) are not considered valid and probably represent S omniosus antarcticus Whitley, 1939 (Ebert et al. 2009). Depth: surface, intertidal to about 2,205 m (7,232 ft) (min.: Bright 1959; max.: Yeh and Drazen 2009); at the greatest depths in the southern part of the range.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0240.005

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 head0.026
GPT teacher head0.247
Teacher spread0.221 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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