MétaCan
Menu
Back to cohort
Record W6967447121 · doi:10.5281/zenodo.10167282

Zyras obliquus

2023· article· en· W6967447121 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
KeywordsSynonym (taxonomy)Table (database)AlderJack pineHabitatPeck (Imperial)

Abstract

fetched live from OpenAlex

191. Zyras obliquus (Casey) (Illustrations in Klimaszewski et al. 2018), Table 1 References. Casey 1893. Seevers 1978 (as synonym of Z. haworthi (Stephens, 1832)). Klimaszewski and Peck 1986. Klimaszewski and Winchester 2002a (as Z. pseudohaworthi Klimaszewski). Klimaszewski et al. 2005b, 2009a, 2016, 2018, 2020, 2021. Webster et al. 2009. Majka and Klimaszewski 2010. Distribution. Nearctic, recorded from A/S (Klimaszewski et al. 2021). Canada: AB, BC, LB, MB, NB, NF, NS, ON, QC, SK. USA: MI, MO, NH, NY, OR. Collection and Habitat data. In NH reported from Mt. Washington in July. In Canada (BC) adults taken from various traps in 3–5-year-old post-harvest Douglas fir forest, in transition zone of Sitka spruce forest, in mixed Populus / Salix / Alnus and Pinus banksiana forests, under red oak in red oak forest (Klimaszewski and Winchester 2002a, Webster at al. 2009, Klimaszewski et al. 2018). Material. USA, New Hampshire, Coos Co.: Mt. Washington summit, 29.VII.1957, Becker, Munroe & Mason (1, CNCI, Klimaszewski et al. 2005b). Oregon, Lane Co.: H.J. Andrews Exp. Forest, nr clearcut 502, 2000’, 13.V.1983, D.S. Chandler, sift alder litter & rotten wood, 2 sex? Comments. Before 2002 this species was often identified as Z. haworthi in North American collections (Klimaszewski et al. 2018).

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)0.001
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 score0.038
Threshold uncertainty score0.128

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0380.019

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 head0.049
GPT teacher head0.227
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

Explore more

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