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Record W2626128747 · doi:10.22543/0090-0222.1044

Aniulus Paludicolens, N. SP. (Julida: Paraiulidae), a Bog-Dwelling Milliped

2017· article· en· W2626128747 on OpenAlexaboutno aff
Neil B Causey

Bibliographic record

VenueThe Great Lakes Entomologist · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSubterranean biodiversity and taxonomy
Canadian institutionsnot available
Fundersnot available
KeywordsBogSphagnumEcologyMossDeciduousBiologyPeatDisjunctVegetation (pathology)Black spruceWetlandTaiga

Abstract

fetched live from OpenAlex

Almost without exception, millipeds require a continuously moist substratum, yet they do not tolerate flooding. Other ecological factors that limit their distribution are subtle and difficult to recognize. Aniulus paludicolens, n. sp., is unique in that all collections are from Sphagnum bogs in the vicinity of the Great Lakes. It is best known from Byron Bog, in southern Ontario. This bog has the following vegetation zones: a, a central bog based on a mat of Sphagnum moss and covered almost entirely by leatherleaf; b, a low wooded region, damp or flooded, with hardwood trees and shrubs at its outer limits and black spruce and larch at its inner limits; and c, wooded slopes occupied by deciduous trees and shrubs. A. psludicolens occurs only in zones b and c, and in greatest numbers in the former. Other millipeds in the bog include A. bollmani Causey, which was collected only in zone c (Judd, 1965). These two species represent the most northern distribution of the genus, of which there are many species in the southern states and Texas. The species most closely related to A. paludicolens is A. pclitus Chamberlin , which occurs in disjunct polytypic populations in the mountain valleys of Arizona, Colorado, and New Mexico.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.999

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 studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.077
GPT teacher head0.238
Teacher spread0.161 · 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; both teacher heads agree on what is shown here.

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
Published2017
Admission routes1
Has abstractyes

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