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Record W1981346970 · doi:10.1577/t06-027.1

Reproductive Ecology of Slimy Sculpin in Small New Brunswick Streams

2007· article· en· W1981346970 on OpenAlexafffundabout
Rachel Keeler, Richard A. Cunjak

Bibliographic record

VenueTransactions of the American Fisheries Society · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsUniversity of New Brunswick
FundersCanadian Rivers Institute, University of New Brunswick
KeywordsSculpinNest (protein structural motif)BiologyHatchingPaternal careEcologyZoologyReproductionFisheryOffspringFish <Actinopterygii>Pregnancy

Abstract

fetched live from OpenAlex

Abstract The male slimy sculpin Cottus cognatus guards a nest rock and provides parental care for the offspring of one or more females, which deposit all their eggs into the male's nest. The purpose of our research was to determine the timing of nest acquisition, spawning, and hatching and to describe biological (number of eggs) and physical characteristics of the nest. In total, we monitored 77 nests during the 2004 spawning period (April‐June). Females' egg masses contained an average of 106 eggs. Males guarded an average of 239 eggs; most guarded two or three females' egg masses. Most males (60%) began guarding nests in early May, about a week before egg deposition, and left the nest by the end of June. Males tended to use cobble in shallow water as nests. These findings suggest that slimy sculpin may be sensitive to changes in natural flow conditions during their reproductive period.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.789
Threshold uncertainty score0.420

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.218
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

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

Citations15
Published2007
Admission routes3
Has abstractyes

Explore more

Same venueTransactions of the American Fisheries SocietySame topicFish Ecology and Management StudiesFrench-language works237,207