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Record W4407325553 · doi:10.1080/01650424.2024.2443443

The hypopagea: an unexplored habitat for winter-active insects

2025· article· en· W4407325553 on OpenAlexaffabout
Randolph Lauff, Lucas Daut, Mattisen DiRubio, Gabrielle McLaughlin, Yves Alarie, Steven Chordas, Barry R. Taylor

Bibliographic record

VenueAquatic Insects · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsLaurentian UniversitySt. Francis Xavier University
Fundersnot available
KeywordsBiologyHabitatEcology

Abstract

fetched live from OpenAlex

Upon learning of a report of a giant water bug (Lethocerus americanus (Leidy, 1847)) swimming to a hole drilled in an ice-covered pond, we investigated the extent to which insects remain active in ice covered ponds in northern Nova Scotia, Canada. Insects were caught primarily with a novel ice hole trap, but also by dip netting in the holes and examining the wash around the hole soon after the drilling. Using a submerged camera further confirmed some insects were active and motile. Over 1,300 specimens (seven orders, 17 families, at least 45 species) were captured over six winters, from 2012 to 2017. These data suggest that the hypopagea (the freshwater environment below ice) is an unexplored habitat full of active insects.

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 score0.171
Threshold uncertainty score0.341

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 studies0.0010.001
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 head0.030
GPT teacher head0.274
Teacher spread0.244 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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