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Record W4253399775 · doi:10.47886/9781934874509.ch4

Cutthroat Trout: Evolutionary Biology and Taxonomy

2018· book-chapter· en· W4253399775 on OpenAlexaboutno aff

Bibliographic record

VenueAmerican Fisheries Society eBooks · 2018
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTroutOncorhynchusGeographyTributaryStructural basinPleistoceneFisheryEcologyGeologyArchaeologyBiologyPaleontologyFish <Actinopterygii>Cartography

Abstract

fetched live from OpenAlex

Abstract.—The fossil record of Cutthroat Trout Oncorhynchus clarkii enables us to see them as ancient fish adapted to mountain streams and lakes, with resilience to dramatic geologic and climatic changes over time scales of thousands to millions of years. Their natural habitat is in the Rocky Mountains and Great Basin of the United States and Canada, usually inland of their sisters, Rainbow Trout O. mykiss and Redband Trout. Earliest records of the lineage are from near the California–Nevada line in the 16-to-3-million-year-old tectonic trough between the Sierra Nevada and the Great Basin that predates the uplift of the Sierras. The first known member of the lineage is the Truckee Trout O. belli, 10 million years ago. This ancestral Cutthroat Trout and its eight known fossil descendants lived in lakes and tributaries in the trough between the Sierra Nevada and the Great Basin, from The Miocene Esmeralda Formation north to Pleistocene Honey Lake. These already possessed diagnostic Cutthroat Trout traits such as an abbreviated preopercle, deep subopercle, and A-shaped dermethmoid (bone on the snout), which differentiate them from chars and other salmonids. Five Pleistocene relatives have been found above 1,400 m in the Bonneville basin and four others have been found from 1,800 to 2,700 m in Colorado and Wyoming. Throughout their fossil history, Cutthroat Trout are not known to have coexisted with Rainbow Trout or Redband Trout, apparently being susceptible to genetic mixing and competitive elimination, although there is limited sympatry in northern coastal streams today. The other major threat to their persistence is habitat loss from anthropogenic dams, water withdrawal for agriculture, overgrazing, and deforestation, which disrupt natural dispersal within metapopulations and risks local extirpation. Maintenance of natural habitat, including historical immigration routes among populations, would contribute more to long-term survival of Cutthroat Trout than providing minimal habitat reserves.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.004
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.002

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 head0.016
GPT teacher head0.207
Teacher spread0.191 · 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 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

Citations1
Published2018
Admission routes1
Has abstractyes

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