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Record W6912687939 · doi:10.5281/zenodo.4505072

Orius Wolff 1811

2019· article· en· W6912687939 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFossil Insects in Amber
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsSubgenusGenusType speciesHomonym (biology)Taxonomy (biology)Nomenclature

Abstract

fetched live from OpenAlex

Orius Wolff, 1811 Orius Wolff, 1811: iv (original description), type species by monotypy: Salda nigra Wolff, 1811: iv. Orius: PÉRICART (1972): 160 (redescription); HENRY (1988): 18 (catalog); YASUNAGA (1993): 12 (diagnosis); CASSIS & GROSS (1995): 33 (catalog); PÉRICART (1996): 122 (catalog); YASUNAGA (1997): 358 (diagnosis, discussion); HERNÁNDEZ & STONEDAHL (1999): 548 (diagnosis); BU & ZHENG (2001): 185 (diagnosis); YASUNAGA (2001): 287 (diagnosis, note); CARPINTERO (2002): 37 (catalog); AUKEMA et al. (2013): 90 (catalog); YAMADA et al. (2016): 1108 (diagnosis, discussion). Comments. This cosmopolitan genus is currently composed of approximately 90 species (cf. PÉRICART 1996, YAMADA et al. 2016). Only three representatives are known to occur in Nepal. However, our recent effort has revealed presence of more than ten unknown species; three of them were confirmed to be undescribed and are documented below. Since WAGNER (1952) the subgeneric classification has been employed for Orius; currently six subgenera are present, namely Dimorphella Reuter, 1884 (= Paraorius Yasunaga & Miyamoto, 1993); Microtrachelia Blöte, 1929; Orius s. str.; Heterorius Wagner, 1952; Trichorius Yasunaga, 1997; and Xylorius Yasunaga, 1997. Nonetheless, this subgeneric classification system is perfectly applicable only to the Palaearctic species. Further comprehensive revision on a global basis is required to establish more definitive subgeneric classification (YAMADA et al. 2016). Now twenty species are known from South Asia as listed below; the subgeneric position of five species is yet to be determined.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.725
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0850.043

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 head0.029
GPT teacher head0.214
Teacher spread0.184 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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