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Record W6912011106 · doi:10.5281/zenodo.16876118

Allocapnia rickeri Frison 1942

2025· article· en· W6912011106 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
KeywordsPlateau (mathematics)STREAMSKarstSinkhole

Abstract

fetched live from OpenAlex

Allocapnia rickeri Frison, 1942 Notes Allocapnia rickeri is commonly known as the Midwest Snowfly (Stark et al. 2012). This widespread species is known from Quebec and Ontario south to Georgia, Alabama, and Mississippi, southwest to Kansas and Oklahoma, and west to Minnesota. This species is common throughout its range, especially in the Midwestern USA (Ross and Ricker 1971, DeWalt et al. 2024). Historical and recent collections of adults have occurred in the state from mid-February through mid-April (Fig. 7). In New York, records are available at elevations ranging from 6 to 464 m asl (Fig. 9), from streams in Level IV Ecoregions Glaciated Low Allegheny Plateau (60 a), Finger Lakes Uplands and Gorges (60 d), Glaciated Allegheny Hills (60 e), Cattaraugus Hills (60 f), Low Lime Drift Plain (61 c), Hackensack Meadowlands (64 g), and Erie / Ontario Lake Plain (83 a) (Fig. 12 a).

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.003

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 head0.205
Teacher spread0.191 · 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 designNot applicable
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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Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicFreshwater macroinvertebrate diversity and ecology→French-language works237,207→