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Record W2063815473 · doi:10.1139/f07-102

Is there a role for vision in the behaviour of sea lampreys (<i>Petromyzon marinus</i>) during their upstream spawning migration?

2007· article· en· W2063815473 on OpenAlexvenueno aff
Thomas R. Binder, D. G. McDonald

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPetromyzonDiel vertical migrationNocturnalSunriseLampreyBiologySunsetEcologyZoologyFisheryGeographyMeteorology

Abstract

fetched live from OpenAlex

This study found no evidence to support a role for vision in the behaviour of sea lampreys (Petromyzon marinus) during their spawning migration. Blindness had no affect on the migratory propensity of lampreys, and control and blinded animals moved upstream at the same rate. The diel activity pattern of control and blinded lampreys was identical in both the laboratory and field. Activity was mostly nocturnal, but lampreys in the field did show some daytime activity. Diel activity broke down when lampreys were unable to locate suitable daytime refuge, but blindness did not affect the willingness or ability of lampreys to do so in either the laboratory or field. Laboratory studies indicate that light avoidance is mediated by dermal photoreceptors located in the tail, but the data suggests that refuge sites are sought out before sunrise using tactile and possibly hydraulic cues. Thus, light-induced searching only occurs when the sites chosen at night do not provide adequate concealment after sunrise.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

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 studies0.0000.001
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 head0.010
GPT teacher head0.216
Teacher spread0.206 · 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 designObservational
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

Citations48
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Fisheries and Aquatic Sciences→Same topicFish Ecology and Management Studies→French-language works237,207→