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Record W4403288996 · doi:10.11646/zootaxa.5521.1.1

Nymphs of the Northeastern Nearctic Species of Neoleptophlebia Kluge, 1997 and Paraleptophlebia Lestage, 1917 (Ephemeroptera: Leptophlebiidae)

2024· article· en· W4403288996 on OpenAlexaboutno aff
Steven J. Burian

Bibliographic record

VenueZootaxa · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicFreshwater macroinvertebrate diversity and ecology
Canadian institutionsnot available
Fundersnot available
KeywordsNearctic ecozoneNymphBiologyEcologyHabitatKey (lock)MayflyZoologyTaxonomy (biology)

Abstract

fetched live from OpenAlex

Although male imagos of the three species of Neoleptophlebia and seven species of Paraleptophlebia known from the northeastern Nearctic region (i.e., eastern Canada and northeastern United States) are reasonably well-known and can be reliably keyed, nymphs are not as well-known and often cannot be reliably identified using the existing keys. Descriptions of nymphs of the northeastern Nearctic species of Neoleptophlebia and Paraleptophlebia vary in completeness and frequently lack important morphological details or information on variation that occurs with development or between different sexes. Thus, all existing keys based on these descriptions have problematic couplets, and some do not treat all 10 species. To address these problems a new key to nymphs of the 10 northeastern Nearctic species of Neoleptophlebia and Paraleptophlebia is presented here based on a reassessment of the morphology of nymphs and exuviae of reared specimens. The new key uses several new characters in combination with previously known diagnostic characters to increase the probability of achieving accurate species determinations. In support of the key each species is discussed regarding key characters, specifically regarding variability that may cause interpretation problems. Regional distribution and habitat also are discussed for each species. Lastly, comments are provided on the apparent vulnerability of each species to large scale changes in its occurrence within the northeast Nearctic region as a result of the predicted effects of climate change on regional aquatic habitats.

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 score0.014
Threshold uncertainty score0.027

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.194
Teacher spread0.183 · 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
Published2024
Admission routes1
Has abstractyes

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