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Summer habitat use of Arctic char (<i>Salvelinus alpinus</i>) in a small Arctic lake, monitored by acoustic telemetry

2008· article· en· W2094826755 on OpenAlexafffund
Terry A. Dick, Colin P. Gallagher, Airong Yang

Bibliographic record

VenueEcology Of Freshwater Fish · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaNunavut Arctic College
KeywordsArctic charSalvelinusCharArcticEnvironmental scienceBenthic zoneHabitatInvertebrateEcologyAbiotic componentSubstrate (aquarium)UnderwaterOceanographyFisheryGeologyGeographyBiologyFish <Actinopterygii>

Abstract

fetched live from OpenAlex

Abstract – Acoustic technologies were applied to describe how landlocked Arctic char from Iqalugaajuruluit Lake, Baffin Island, interact with its lacustrine habitat. Acoustic data from the lake bottom was collected using sonar equipment and substrate types were verified with benthic grabs and mapped in a geographic information system. Arctic char movements during the open water period were recorded from char fitted with acoustic tags. The distribution of the tagged Arctic char in Iqalugaajuruluit Lake was dependent on fish size and related to abiotic factors such as depth, substrate type and depth/temperature, temporally. The volume of water with temperatures below 6 °C during the open water period may be a limiting factor for large char (&gt;400 mm) in small Arctic lakes. The large piscivorous char are found most often in the deepest water over soft substrates and the smaller char which feed on varying proportions of invertebrates and fish were found most often over the more complex substrates such as boulders, pebbles and gravel.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.208
Teacher spread0.186 · 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 teacher head, not a consensus.

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

Citations14
Published2008
Admission routes2
Has abstractyes

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