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Record W6892483488 · doi:10.5281/zenodo.10167063

Clusiota impressicollis

2023· article· en· W6892483488 on OpenAlexaff

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
KeywordsMalaiseBalsamTable (database)SnagHabitat

Abstract

fetched live from OpenAlex

82. Clusiota impressicollis (Bernhauer) (Illustrations in Klimaszewski et al. 2018), Table 1 References. Bernhauer 1907. Casey 1910 (as C. claviventris Casey). Gusarov 2003. Klimaszewski et al. 2008a, 2011, 2015c, 2018. Distribution. Nearctic. BC, NB, NF, ON. USA: CA, NH (NSR), WA. Collection and Habitat data. One female was captured in NH by a Malaise trap in August in a coastal forest. In NF specimens were found in a fir-deciduous forest; a specimen from NB was found under coyote dung on a gravel road through an old-growth white spruce and balsam fir forest (Klimaszewski et al. 2011, 2018). Material. USA, New Hampshire, Rockingham Co.: 1 mi W Odiorne Point, 6–9.VIII.1983, D.S. Chandler, Malaise trap, 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0350.025

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 head0.043
GPT teacher head0.227
Teacher spread0.185 · 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
Published2023
Admission routes1
Has abstractyes

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Same venueZenodo (CERN European Organization for Nuclear Research)Same topicColeoptera Taxonomy and DistributionFrench-language works237,207