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Record W6918120608 · doi:10.5886/gbendr

Royal Ontario Museum - Ichthyology

2025· dataset· en· W6918120608 on OpenAlexaffabout

Bibliographic record

VenueCanadensys · 2025
Typedataset
Languageen
Field
Topic
Canadian institutionsRoyal Ontario Museum
Fundersnot available
KeywordsIchthyologyFish <Actinopterygii>TroutFresh waterFreshwater fish

Abstract

fetched live from OpenAlex

The ROM ichthyology collection has over one million specimens of approximately 7,000 species from around the world. The collection currently holds over 100,000 catalogued lots, including 160 holotypes and 1,302 paratypes, with additional types being added regularly through both in-house and collaborative research. The ROM houses the largest and most diverse collection of Canadian freshwater fishes in existence. Of the 232 known fish species in Canada, the ROM collection presently holds 212, or over 91%, and provides a critical tool for studies on disappearing wildlife. The collection has significant holdings in Indo-pacific marine fishes and is growing rapidly in freshwater South American fishes. Highlights of the fish collection include the last Atlantic Salmon specimens from Lake Ontario before their extirpation in the 1850s; a Coelacanth from the Comoros; the world record Lake Trout from Lake Athabasca, Alberta; the Canadian record Muskellunge from the Moon River, Ontario; and one of the world’s smallest vertebrates, Trimmatom nanus from the Indian Ocean.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.060
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.005

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 head0.010
GPT teacher head0.239
Teacher spread0.229 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2025
Admission routes2
Has abstractyes

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