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Size and Age of Migrating Eastern Red Efts (Notophthalmus viridescens) from the Laurentian Shield, Quebec

2005· article· en· W2176713932 on OpenAlexaffabout
Raymond Leclair, Maria Helena Leclair, Marc Levasseur

Bibliographic record

VenueJournal of Herpetology · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsUniversité du Québec à Trois-Rivières
FundersIronwood Pharmaceuticals, Incorporated
KeywordsBiologyPopulationShoreHabitatNest (protein structural motif)EcologyFisheryDemography

Abstract

fetched live from OpenAlex

From June to October 1994, we used drift fences to sample migrating red efts (Notophthalmus viridescens) in terrestrial habitats near a permanent oligotrophic lake in the Mastigouche Reserve, Quebec. Fences were placed up to 200 m from the shore and yielded a total of 1443 efts. Age was estimated by skeletochronology. More than 1200 efts (modal SVL 20 mm, age 0 , 1, and 2 yr) were caught while migrating toward the forest; most (83%) were caught in fences < 15 m from shore between 7 and 30 September. Efts migrating toward the lake (N = 226) were more frequent in June (39.4%) and August (37.6%). Those from three fences nearest shore (< 87 m) were maturing efts (modal SVL 32 mm; age 3–5 yr). Age and SVL were highly correlated in the eft population. Fence distance from shore and the interaction of this factor with fence side accounted for a significant portion of eft body size variation. Results suggest that maturing efts may need more than one season to migrate from terrestrial home range to spawning lake. Reduced migration during midsummer may be the result of adverse conditions on the forest floor. We estimated the median number of breeding seasons (2.5) in the study population by comparing age structure of the maturing eft population with that of adults in the nearby lake.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 head0.008
GPT teacher head0.220
Teacher spread0.211 · 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 teacher head, not a consensus.

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

Citations4
Published2005
Admission routes2
Has abstractyes

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