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Record W1548611558 · doi:10.1080/14634988.2012.708639

Contemporary life history characteristics of Lake Superior deepwater ciscoes

2012· article· en· W1548611558 on OpenAlexaffabout
Thomas C. Pratt, Stephen C. Chong

Bibliographic record

VenueAquatic Ecosystem Health & Management · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsOntario Forest Research InstituteMinistry of Natural Resources and ForestryFisheries and Oceans Canada
FundersCisco Systems
KeywordsSurvivorship curveCoregonusFaunaAbundance (ecology)Fish <Actinopterygii>LongevityBiologyLife historyFisheryEcologyDemography

Abstract

fetched live from OpenAlex

The diversity and abundance of ciscoes has declined in the Great Lakes, with only Lake Superior retaining its original Cisco fauna; yet as a group, ciscoes remain poorly studied. We examined age and growth, sex ratios, and estimated survivorship and mortality of deepwater ciscoes (Bloater: Coregonus hoyi, Kiyi: C. kiyi, and Shortjaw Cisco: C. zenithicus) and Cisco C. artedi. All fish were captured in gill nets set &amp;gt;60 m in Canadian waters of Lake Superior from 2007–2009. Survivorship was higher than expected, with total annual survival rates ranging from 0.615 (Kiyi) to 0.785 (Shortjaw Cisco). This result was attributed to using otoliths to estimate ages rather than scales as done in previous investigations. Maximum ages of ciscoes exceeded 20 years with Cisco, the largest, longest-lived species, followed by Shortjaw Cisco, Bloater and Kiyi. Females dominated adult populations in all species; females were larger-at-age and had greater longevity, resulting in sex ratios skewed heavily towards females. With the exception of age and growth data, the life history characteristics that we observed were consistent with historic data from the early part of the 20th century.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.028
GPT teacher head0.232
Teacher spread0.204 · 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 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

Citations16
Published2012
Admission routes2
Has abstractyes

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