MétaCan
Menu
Back to cohort
Record W6904907049 · doi:10.14286/mtpbwd

OTN Loan - Beiarfjorden

2019· dataset· en· W6904907049 on OpenAlexaff

Bibliographic record

VenueOcean Tracking Network · 2019
Typedataset
Languageen
Field
Topic
Canadian institutionsOcean Tracking Network
Fundersnot available
KeywordsFish migrationHabitatMarine habitatsSalmoMarine ecosystemEcosystemEstuaryAquaculture

Abstract

fetched live from OpenAlex

This is the OBIS extraction of the Ocean Tracking Network and Norwegian University of Science and Technology (NTNU) OTN Loan - Beiarfjorden, consisting of the release tagging metadata, i.e. the location and date when the tagged animal was released, and summarized detection events of tagged individuals. If readers are interested in the source dataset they may also inquire with the project PIs as listed here or on the OTN web site (https://members.oceantrack.org/project?ccode=V2LBEIAR).Abstract:Conflicts between nature conservation and anthropogenic interactions like urbanization, aquaculture, fisheries and recreation in coastal marine ecosystems are common and divisive for communities. In Europe, the increasing use of near-coastal areas for sea cage aquaculture may negatively influence anadromous brown trout (Salmo trutta; a.k.a. sea trout) and Atlantic Salmon (Salmo salar). Salmonids provide important social and ecosystem services in many countries, including Norway. However, during the last 10-20 years, the abundance of both Atlantic salmon and sea trout have declined markedly in many regions. Knowledge about the biology, ecology and habitat use of salmonids is limited and insufficient for successfully planning sustainable coastal developments. “The secret life of sea trout” research program is using acoustic telemetry linked with physiology, stable isotopes and genomics to document marine migrations and habitat use of anadromous brown trout, Atlantic salmon and Arctic charr from several Norwegian fjords. The findings show that sea trout exhibits diverse marine behavior in time and space depending on nutritional state, sex and morphology of the home watercourse. Thus, potential negative impacts from coastal developments may vary among individuals and watercourses. Acoustic telemetry has been used in several estuaries and fjord systems in Norway to document potential conflicts with human influences such as different infrastructure and fish farming. At the same time, habitat use of sea trout has been studied in undisturbed and pristine estuaries at Kerguelen Island to serve as a reference. Results show that estuaries are important transition zones, especially for younger individuals, between the nursery areas in freshwater and feeding grounds at sea. Additionally, during certain times of the year, estuaries may act as an important longer-term habitat, with fish residing there for weeks to months, and sometimes for the whole duration of the summer feeding migration. A consequence of longer-term residency in estuaries is an increased risk of disturbance from boat traffic, industrial development, harbours, local pollution, gravel extraction, and other physical developments that are often located in estuaries.The findings from the projects are used by stakeholders when decisions are made regarding locations of new fish farms and development of infrastructure in coastal areas. The participation of the public in the research project through community consultations has provided educational opportunities for the local communities, especially their youth, and has allowed for exchange of local and scientific knowledge, enriching both communities. The aim of the Beiarfjord project is to further investigate the migratory behaviour of brown trout and Atlantic salmon in a northern fjord system, where the inner part is a marine protected area, while open sea cage fish farming is located in the outer part of the fjord complex.

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 categoriesMeta-epidemiology (narrow), Research integrity, 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 score0.071
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.074

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 head0.279
Teacher spread0.251 · 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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueOcean Tracking NetworkFrench-language works237,207