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Record W3011603717 · doi:10.22215/etd/2016-11468

The Physiological, Behavioural, and Survival Consequences of Two Radio Transmitter Attachment Techniques on Migrating Adult Sockeye Salmon

2016· dissertation· en· W3011603717 on OpenAlexafffund
Melissa Dick

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiotelemetryAdverse effectBiologyAdverse weatherMedicineTelemetryGeographyComputer sciencePharmacologyTelecommunications

Abstract

fetched live from OpenAlex

Biotelemetry is widely used to study the behaviour and survival of migrating adult Pacific salmon, but little is known about if and how the tagging process and burden of the transmitter pose risks to the study animal.Minimizing the adverse impacts of tagging is important for reasons of animal welfare, but also to accurately derive representative data from tagged individuals.In Chapter 2, I compare the short-term physiological responses of adult sockeye salmon tagged either via gastric insertion or external attachment to untagged controls and report no differences in physiology between the treatment groups.In Chapter 3, I monitored the movement and status of gastrically and externally tagged individuals and reported that externally tagged fish were almost twice as successful in reaching spawning grounds than gastrically tagged individuals.These results reveal that the failure to detect immediate physiological disturbances and behavioural differences in tagged adult migrating Pacific salmon does not negate the possibility that long-term tag-specific adverse effects may occur.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.018
GPT teacher head0.281
Teacher spread0.263 · 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 designBench or experimental
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

Citations1
Published2016
Admission routes2
Has abstractyes

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