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Record W6950334511 · doi:10.5281/zenodo.6002867

Ceratina (Zadontomerus) dupla Say 1837

2017· article· en· W6950334511 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Invertebrate Ecology and Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsChecklistPeninsulaNesting (process)Historical record

Abstract

fetched live from OpenAlex

Ceratina (Zadontomerus) dupla Say 1837 County records: Allegan, Barry, Bay, Berrien, Calhoun, Cass, Clinton, Eaton, Huron, Ingham, Jackson, Kalamazoo, Lake, Lapeer, Leelanau, Lenawee, Livingston, Mecosta, Newaygo, Ottawa, Saginaw, Van Buren, Washtenaw. Notes. Daly (1973) revised the Ceratina of America north of Mexico, which included examination of Michigan material. Due to problems with female identification, no doubt confounded by the presence of the then unknown C. mikmaqi Rehan & Sheffield, only males were identified in Daly’s revision. Specimens identified as C. dupla at MSUC were reexamined by JG. Of the 104 males identified by Daly as C. dupla only 12 were in fact that species. The remaining specimens were C. mikmaqi. Although most historical records of Ceratina dupla were misidentified, the species as currently definied is confirmed for 20 counties in the Lower Peninsula (see checklist entry below). Nesting in Ontario described by Vickruck et al. (2011).

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.034
GPT teacher head0.254
Teacher spread0.220 · 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
Published2017
Admission routes1
Has abstractyes

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