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Record W6969290118 · doi:10.5281/zenodo.3789181

Sarrothripini Hampson 1894

2010· article· en· W6969290118 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLepidoptera: Biology and Taxonomy
Canadian institutionsUniversity of CalgaryCanadian Food Inspection AgencyRoyal Alberta MuseumCalgary Laboratory ServicesNatural Resources Canada
Fundersnot available
KeywordsDeciduousSubfamilyGenusAmazon rainforestWoodland

Abstract

fetched live from OpenAlex

Sarrothripini 1722 * R Nycteola frigidana (Walker, 1863) L Apr – E May; L M B g T: McDunnough (1943b), Fletcher (1959) Jul – M Sep (H) L: McDunnough (1943b), Bowman (1951), Crumb (1956), Prentice (1962), Ives and Wong (1988), Pohl et al. (2004b) C: CNC, NFRC, UASM 1723 * R Nycteola cinereana Neumoegen and Dyar, 1893 L Aug – L Oct – B g T: McDunnough (1943b), Fletcher (1959) L: Ives and Wong (1988) C: CNC, NFRC, OLDS, UASM 62.3 Risobinae The genus Baileya is the sole representative of this subfamily in North America, with seven species. Although superficially quite different in appearance from the type-genus Risoba of the Asian tropics (Holloway 2003), unique genitalic structures, and to some extent wing pattern, unify this group. Baileya are moderately-sized moths of mesic forest and woodland habitats, and the larvae feed on deciduous trees and shrubs. Forbes (1954) diagnosed the species known at that time, and two additional species were described recently from the southeastern United States (Brou 2004). 1723.1 * P Baileya doubledayi Guenée, 1852? – B – T: Forbes (1954), Brou (2004) 1724 * R Baileya ophthalmica (Guenée, 1852) L May – M Jun – B g T: Forbes (1954), Brou (2004) L: None C: CNC, UASM

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.067
Threshold uncertainty score0.223

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0670.023

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 head0.020
GPT teacher head0.235
Teacher spread0.215 · 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
Published2010
Admission routes1
Has abstractyes

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