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Record W4405323040 · doi:10.1080/08927014.2024.2430353

Factors affecting the spatial and temporal distribution of biofouling communities on Atlantic salmon ( <i>Salmo salar</i> ) farms: insights from the Broughton Archipelago, British Columbia, Canada

2024· article· en· W4405323040 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBiofouling · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Invertebrate Physiology and Ecology
Canadian institutionsMowi (Canada)University of VictoriaFisheries and Oceans Canada
Fundersnot available
KeywordsSalmoBiofoulingArchipelagoFisheryGeographyEcologyOceanographySpatial distributionBiologyEnvironmental scienceFish <Actinopterygii>Geology

Abstract

fetched live from OpenAlex

Biofouling communities were examined at five depths at two salmon farms (Doctor Islets (DI), Wicklow Point (WP)) in British Columbia, Canada from April/May to October 2020. In addition, various water quality parameters were measured and the jellyfish numbers were quantified. Biofouling communities were mainly composed of Mollusca (primarily Mytilus spp.), arthropods (mostly harpacticoids), and hydroids (predominantly Obelia sp.), while jellyfish samples were made up mostly of medusa-form Obelia sp. At DI, all variables except ammonia were associated with biofouling counts, all variables except depth were associated with hydroid biomass, while only temperature, dissolved oxygen, ammonia, and nitrate were associated with jellyfish. At WP, all variables except phosphate and silica were associated with biofouling counts, only depth was associated with hydroid biomass, and only ammonia was associated with jellyfish. Insights into what environmental variables are correlated with biofouling organisms and jellyfish may assist with the development of effective mitigation strategies.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.556

Codex and Gemma teacher scores by category

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

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 head0.016
GPT teacher head0.194
Teacher spread0.178 · 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