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Record W4405480827 · doi:10.1111/fme.12780

Free Falling: Fizzing Wild‐Caught Smallmouth Bass Results in the Inability to Control Buoyancy in Deep Water

2024· article· en· W4405480827 on OpenAlexafffund
Jamie C. Madden, Luc LaRochelle, Alyssa M. Goodenough, Andy J. Danylchuk, Steven J. Cooke

Bibliographic record

VenueFisheries Management and Ecology · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for Innovation
KeywordsBass (fish)FisheryBuoyancyFalling (accident)Deep waterBiologyEcologyOceanographyGeologyMechanicsPhysics

Abstract

fetched live from OpenAlex

ABSTRACT Fizzing, a somewhat controversial technique for mitigating barotrauma, uses hollow hypodermic needles to release gas from the swim bladder of fish. To isolate effects of fizzing, 106 smallmouth bass (Micropterus dolomieu) were caught from shallow water without barotrauma and tested to determine if they could effectively control their buoyancy after having their swim bladder fizzed or punctured by releasing them over shallow (10 m) or unsuitably deep (55 m) habitat. Depth and behavior were monitored with biologgers. Most fizzed (57%) and punctured (61%) fish were unable to regulate their buoyancy in deepwater, sinking to the bottom and appearing moribund. In shallow water, punctured smallmouth bass stayed higher in the water column (like controls), while many fizzed fish stayed on the bottom. Our results suggest that if smallmouth bass are fizzed and immediately released, precautions should be taken to ensure they are released in areas of appropriate water depths (< 10 m).

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)0.001
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
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.008
GPT teacher head0.195
Teacher spread0.187 · 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

Citations2
Published2024
Admission routes2
Has abstractyes

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