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Record W7079515200 · doi:10.26108/zmz9-j449

Acoustic hydrophone (icListen) deployed on an Atlantic sturgeon (Acipenser oxyrinchus oxyrinchus) to measure habitat specific noise in the Minas Basin, Nova Scotia

2013· article· en· W7079515200 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAcadiaU-DEV · 2013
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsPorpoiseHydrophoneNoise (video)Nova scotiaSound (geography)Ambient noise levelUnderwaterSound pressureTelemetryMooring

Abstract

fetched live from OpenAlex

Electronic tags attached to marine mammals and fish have been developed to sample temperature, pressure (depth), and location. Currently, no tag contains a built in broadband acoustic hydrophone. In this project, as a proof of concept, we attached a full-size high frequency 200 kHz 24-bit smart hydrophone (icListen) to an Atlantic sturgeon (Acipenser oxyrinchus oxyrinchus) in order to measure ambient noise from the Minas Basin, Nova Scotia. The front end of the icListen hydrophone was secured to the Atlantic sturgeon through use of a Velcro strap that went around its abdomen, behind the pectoral fins. A line of dissolving suture thread, which passed through a dorsal scute, secured the back end of the icListen to the fish. A V13P acoustic tag glued to the exterior of the icListen was used to track the bioprobe with a VR100 manual tracking unit. Three galvanic releases built into the design corroded after approximately seven hours and released the icListen from the fish. Syntactic foam allowed the icListen to float vertically at the surface and a Single Position Only Tag (SPOT-100) then transmitted location signals to the ARGOS satellite system to direct researchers attempting to retrieve the icListen. Approximately eight hours of acoustic data was collected by the icListen hydrophone during its deployment. Ambient noise was recorded, including a splash upon release, shrimp snapping, boat engine noise, waves, harbour porpoise clicks, and signals from Vemco acoustic transmitters implanted within other fish. Echolocation clicks from a harbour porpoise (Phocoena phocoena) were recorded by the icListen during two separate interactions, both indicating a possible attempt at communication with an acoustic tag. Ten acoustic transmitters were picked up by the VR100; five from Atlantic sturgeon tagged between 2010 and 2012, and five others from striped bass (Morone saxatilis) tagged in 2012. The VR100 identified the IDs of uniquely coded tags, provided a time and location stamp for detections and recorded pressure (depth) readings from some tags. This study provided proof of concept for the deployment of an icListen hydrophone on a marine bioprobe in order to record ambient acoustic data. Insight into the interactions between marine mammals and acoustically tagged fish was gained, and tag data allowed a rough estimate of untagged Atlantic sturgeon to be calculated for the study site, off Kingsport, Nova Scotia.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.025
GPT teacher head0.231
Teacher spread0.207 · 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