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Record W4253641086 · doi:10.11646/zootaxa.3432.1.1

Oribatella (Acari, Oribatida, Oribatellidae) of western North America

2012· article· en· W4253641086 on OpenAlexaff
Valerie M. Behan‐Pelletier, D. E. Walter

Bibliographic record

VenueZootaxa · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicStudy of Mite Species
Canadian institutionsRoyal Alberta MuseumAgriculture and Agri-Food Canada
Fundersnot available
KeywordsOribatidaBiologySetaAcariInstarGenusChaetotaxyKey (lock)NymphSystematicsZoologyEcologyTaxonomy (biology)Larva

Abstract

fetched live from OpenAlex

The oribatid mite genus Oribatella (Oribatellidae) includes 18 species known previously from North America. Herein, wedescribe 11 new Oribatella species from montane, subarctic, forest and prairie habitats in western North America: O. abmisp. nov., O. banksi sp. nov., O. ewingi sp. nov., O. heatherae sp. nov., O. manningensis sp. nov., O. maryae sp. nov., O.oregonensis sp. nov., O. parallelus sp. nov., O. pawnee sp. nov., O. sintranslamella and O. yukonensis sp. nov.Descriptions of two species (O. heatherae and O. pawnee) include some developmental instars. That of O. yukonensisincludes all instars; nymphs retain dorsocentral setae dm and dp, but the setal morphology changes between larva andnymphs. These immatures bear sclerotized areas on the hysterosoma. Adults of Oribatella oregonensis show distinctsexual dimorphism, with three notogastral setae arising from fused porose areas in the male. We provide new distributionrecords for Oribatella species previously known from North America, including O. arctica Thor, 1930, O. canadensisBehan-Pelletier and Eamer, 2010, O. jacoti Behan-Pelletier, 2011 and O. reticulatoides Hammer, 1955, and remark on O.anomola Grabowski, 1970. We clarify description of the octotaxic system and the interlamellar region in species ofOribatella and discuss variability in hysterosomal sclerotization and setation in immatures. Finally, we give a key to adults of the 29 species of Oribatella now known from North America.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.023
GPT teacher head0.220
Teacher spread0.197 · 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 teacher head, not a consensus.

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

Citations14
Published2012
Admission routes1
Has abstractyes

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