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Record W2071165562 · doi:10.1139/cjfas-2013-0611

The VENUS cabled observatory as a method to observe fish behaviour and species assemblages in a hypoxic fjord, Saanich Inlet (British Columbia, Canada)

2014· article· en· W2071165562 on OpenAlexaffvenueabout
Marjolaine Matabos, Nils Piechaud, François De Montigny, Pierre‐Marie Sarradin, Jozée Sarrazin

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsFjordBenthic zoneOceanographyInletAbiotic componentEnvironmental scienceBenthosEcologyGeologyBiology

Abstract

fetched live from OpenAlex

Studies reporting processes that may shape marine benthic communities under the seasonal scale are rare at depths >50 m. In this study, the use of the VENUS multidisciplinary cabled observatory provided 2-month high-resolution data combining quantitative biology and environmental data in Saanich Inlet, a seasonally hypoxic fjord located on Vancouver Island (British Columbia, Canada). An ecological module equipped with a camera acquired a 3 min video clip every half hour during 2 months at 97 m depth in the oxygen fluctuation zone of the fjord. Results highlighted the role of the tidal cycle on species activity rhythms and confirmed the influence of oxygen fluctuations on benthic assemblage structure and species behaviour. However, environmental variables considered only explained a small proportion of the total variance in species data. This study demonstrates how seafloor observatories can be used to study species behaviour and community dynamics in relation to abiotic conditions by providing continuous access to multidisciplinary data.

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)0.000
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 score0.189
Threshold uncertainty score0.381

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.230
Teacher spread0.209 · 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

Citations17
Published2014
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Fisheries and Aquatic Sciences→Same topicMarine and fisheries research→French-language works237,207→