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Record W6950435783 · doi:10.5281/zenodo.6003178

Lasioglossum (Sphecodogastra) oenotherae

2017· article· en· W6950435783 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFern and Epiphyte Biology
Canadian institutionsnot available
Fundersnot available
KeywordsOenotheraOnagraceaePeriod (music)Ecological succession

Abstract

fetched live from OpenAlex

Lasioglossum (Sphecodogastra) oenotherae (Stevens 1920) (lusorium group) County records: Ingham, Kent, Livingston, Washtenaw. Notes. The nesting biology of Ontario populations have been studied in detail (Knerer & Mackay 1969). Records of this species are largely absent from the Midwest, although the species occurs widely from the Central Plains to Maritime Canada (Gibbs et al. 2013; McGinley 2003). Multiple attempts by JG were made to capture female L. oenotherae in Ingham County from Oenothera spp. (Onagraceae) in the early and late hours of the day without success, but two males were obtained from other flowers during the middle of the day when females would not typically be active (McGinley 2003). Material examined. Ingham Co.: Lake Lansing, Haslett, N 42.749 W84.4, 20 Aug. 2013 (1 ♂ JBWM); Harrison Park, East Lansing, N42.754 W84.486, 25 Aug. 2013 (1 ♂ JBWM); Livingston Co.: E. S. George Reserve, 3 Jul. 19 (5/9)5, Oenothera fruticosa (as tetragona) (UMMZ). Kent Co.: Grand Rapids, 19 Jun. 2014, Oenothera biennis L. (♀ http://bugguide.net/node/view/940949).

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: Other · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.002

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 head0.052
GPT teacher head0.243
Teacher spread0.191 · 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
GenreOther

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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