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Record W2426496917 · doi:10.1186/s41200-016-0036-3

Recent observations of critically endangered North Pacific right whales (Eubalaena japonica) off the west coast of Canada

2016· article· en· W2426496917 on OpenAlexafffundabout
John K. B. Ford, James Pilkington, Brian Gisborne, Timothy R. Frasier, Robin Abernethy, Graeme M. Ellis

Bibliographic record

VenueMarine Biodiversity Records · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsSaint Mary's UniversityFisheries and Oceans Canada
FundersFisheries and Oceans Canada
KeywordsRight whaleWhalingGeographyFisheryWhaleEndangered speciesPopulationCritically endangeredOceanographyWest coastArchaeologyBiologyDemographyGeology

Abstract

fetched live from OpenAlex

The eastern North Pacific population of right whale ( Eubalaena japonica ) is considered to be one of the smallest whale populations in the world and is at serious risk of extirpation. During the past century, there have been only six records of North Pacific right whales off the west coast of Canada. All six were taken by whaling operations, the last in 1951. Two independent and extremely rare sightings of North Pacific right whales were made off the coast of British Columbia, Canada, in 2013. We describe observations made of these two whales and include information on prey and genetic identity for one individual. These sightings represent the first time this species has been confirmed in Canadian waters in 62 years, and likely the only time in the last 15 years that the species has been sighted south of the Kodiak Island area, Alaska, in the eastern North Pacific Ocean. It can be concluded that, although extremely rare, the species has not been extirpated from waters off Canada’s Pacific coast.

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)0.001
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 score0.031
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.021
GPT teacher head0.192
Teacher spread0.171 · 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

Citations7
Published2016
Admission routes3
Has abstractyes

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