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Record W6892516052 · doi:10.5281/zenodo.10167345

Oxypoda lucidula Casey 1906

2023· article· en· W6892516052 on OpenAlexaffabout

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera Taxonomy and Distribution
Canadian institutionsNatural Resources CanadaAgriculture and Agri-Food CanadaCanadian Forest Service
Fundersnot available
KeywordsSphagnumLitterMossPlant litterVegetation (pathology)PeatSnag

Abstract

fetched live from OpenAlex

224. Oxypoda lucidula Casey (Illustrations in Klimaszewski et al. 2006, 2018), Table 1 References. Casey 1906. Webster et al. 2009. Klimaszewski et al. 2006, 2011, 2018, 2021. Distribution. Nearctic, recorded from A/S (Klimaszewski et al. 2021). Canada: AB, LB, MB, NB, NF, NT, NU, ON, QC, YT. USA: AK, IA, ME, MO, NH, NY. Collection and Habitat data. In NH found in Alnus litter and Sphagnum near pond, with the Durham site at the margin of a freshwater marsh. Collected in June and from September to November. In AK found in Salix leaf litter (Klimaszewski et al. 2021). In Canada recorded from litter near various wetlands; sifted from moss and leaf litter along a stream, from Alnus and Sphagnum litter near a pond, treading sedges around edge of pond, and in drift material on upper river margins. Also, in gilled mushrooms in a spruce and fir forest, and in vegetation on coastal sand dunes; a few were captured flying at dusk (Webster et al. 2009, Klimaszewski et al. 2006, 2021). Material. USA, New Hampshire, Coos Co.: 8 mi S Gorham, Pinkham Notch, 2000’, 11.IX.1987, J.M. Campbell and A. Davies, sifting Alnus litter and Sphagnum near pond (CNC), 1 sex? Strafford Co.: 1 mi SW Durham, 11–18.VI.1987, 1 male, 1 female; 15.X–4.XI.1987, D.S. Chandler, FIT, 1 female.

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: none
Teacher disagreement score0.045
Threshold uncertainty score0.152

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 studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0450.014

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 head0.047
GPT teacher head0.225
Teacher spread0.178 · 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
Published2023
Admission routes2
Has abstractyes

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