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Record W6893949279 · doi:10.5281/zenodo.6278950

Megachile gemula Cresson, new comb.

2002· article· en· W6893949279 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsnot available
Fundersnot available
KeywordsTaxonomy (biology)Single specimenKey (lock)

Abstract

fetched live from OpenAlex

gemula Cresson, new comb. Megachile gemula Cresson 1878: 118. Male (not female). Type locality: Georgia [U.S.A.]. Megachile carbonaria Cresson 1879: 208. Female. Type locality: Nevada [U.S. A]. (Not M. carbonaria Smith 1853: 179 [Northern India]. Synonymy of Friese 1911: 236. Megachile Vancouverensis Provancher 1888: 424. Male. Type locality: Vancouver [Canada]. Synonymy of Mitchell 1962: 135. Megachile avara Cresson 1878: 123. Male. Type locality: Georgia [U.S.A.]. Synonymy of Mitchell 1935b: 181. Megachile cressonii Dalla Torre 1896: 427. New name for Megachile carbonaria Cresson. Megachile albula Lovell and Cockerell 1907: 18 ­19. Male. Type locality: Southern Maine [U.S.A.]. Synonymy of Mitchell 1962: 135. Megachile gemula albula Cockerell 1913a: 531. New status. Megachile vancouverensis Cockerell 1913a: 531. Emendation. Megachile vandykei Cockerell 1925a: 205. Female. Synonymy of Hurd 1979: 2059. Megachile (Delomegachile) gemula Mitchell 1935b: 181 ­185. Megachile (Delomegachile) gemula var. cressonii Mitchell 1935b: 185. Megachile gemula var. fulvogemula Mitchell 1935b: 185 ­186. Female. Type locality: Cloudcroft, New Mexico [U.S.A.]. Synonymy of Hurd 1979: 2060. Megachile avaria Hurd 1979: 2060 (Misspelling). Megachile (Delomegachile) gemula cressonii Hurd 1979: 2059. Megachile (Delomegachile) gemula gemula Hurd 1979: 2060.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.033
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0020.001
Scholarly communication0.0010.004
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0330.025

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 head0.103
GPT teacher head0.211
Teacher spread0.108 · 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
Published2002
Admission routes1
Has abstractyes

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