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Record W6893544001 · doi:10.5281/zenodo.16876100

Allocapnia illinoensis Frison 1935

2025· article· en· W6893544001 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicFreshwater macroinvertebrate diversity and ecology
Canadian institutionsnot available
Fundersnot available
KeywordsFoothillsMossPlateau (mathematics)STREAMSColonizationPhysiographic provinceSubstrate (aquarium)Fauna

Abstract

fetched live from OpenAlex

Allocapnia illinoensis Frison, 1935 Notes This species is commonly known as the Illinois Snowfly (Stark et al. 2012). Isolated populations of this rare species have been reported mainly from eastern Canada, south to Virginia, and west to Illinois (Ross and Ricker 1971, DeWalt et al. 2024). Ross et al. (1967) discussed the post-glacial colonization of this species into eastern Canada. Ross and Ricker (1971) provided a distributional map of this species that included three localities in eastern New York State (their fig. 97) yet without precise locality information. Myers et al. (2011) provided the most recent reports of this species from a first order low gradient stream with a substrate composed primarily of sand and cobble, with moss covering some of the larger in-stream substrates. Harper and Harper (1983) reported that A. illinoensis “ dominate ” in small streams of southern Quebec. Webb (2002) presented evidence that this species has been extirpated from Illinois. In New York, adults of this species have been collected from early March through early April (Fig. 7) but infrequently from streams and rivers of moderate elevation 392-427 m asl (Fig. 9). This species is known from four unique locations in Level IV Ecoregions Eastern Adirondack Foothills (58 ac), Central Adirondacks (58 ad), Glaciated Low Allegheny Plateau (60 a), and Mohawk Valley (83 f) (Fig. 10 d).

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 score0.027
Threshold uncertainty score0.053

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.015
GPT teacher head0.204
Teacher spread0.188 · 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 routes1
Has abstractyes

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