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Record W6912170708 · doi:10.5281/zenodo.3801957

Romualdius scaber

2018· article· en· W6912170708 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Invertebrate Ecology and Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsOrnaments

Abstract

fetched live from OpenAlex

Romualdius scaber (Linnaeus) Curculio scaber Linnaeus, 1758 Trachyphloeus bifoveolatus (Beck, 1817) Records. ČER ČNG IFR KHM KHR KYI LWI POL RIV TER VIN VOL ZAK ŽIT [Cherkunov 1889: 193; Mazur 2002: 241; Nazarenko & Kravchenko 2002: 36; Sheshurak & Nazarenko 2002: 122; Yunakov 2003c: 337; Nazarenko 2010d: 90]. Distribution. Europe, Kazakhstan, West Siberia; introduced to USA and Canada (Bright & Bouchard, 2007). Material examined. Kharkiv Prov.: 2 f (KUMN) Izyum, slope of Kremyanets Mt., A.N. Drogvalenko leg., 04.v.2004; 1 f (KUMN) 13 km SSE of Kharkiv, Vasishcheve, Urochyshche Chorny Lis, A.N. Drogvalenko leg., 23.v.2002; Lviv Prov.: 1 f (KUMN) Stryj, left bank of Stryj River, N. Kalashnik leg., 11.vii.1967; Poltava Prov.: 1 f (KUMN) 16 km NW Mirhorod, 1 km NE Romadan, Vodyanitskaya T.B. leg., 12.viii.1997; Rivne Prov.: 1 f (SIZK) Rivne Nature Reserve, V. Yu. Nazarenko leg., 18.vi.2008; Vinnytsia Prov.: 1 spec. (SIZK) Gnivan, 21.vi.1935; 7 f (KUMN) 18 km N Vinnytsia, Salnyk env., Trapeznikova leg., 05.viii.1997; 1 f (KUMN) SW Gaisyna, Ladyzhenske Forestry, Lopatyne locality, Korotkova leg., 15.vi.1967; Zakarpatska Prov.: 1 f (KUMN) ca. 23 km NE Hust, Zabrid, Stolar S. leg., 14.vii.1997; 1 f (KUMN) 15 km SE of Mizhhiria, Mereshor env., Yunakovleg., 09.vii.1997; Zhytomyr Prov.: 9 f (KUMN) Novograd-Volynsky env., Mikhailov leg., 12.v.1911; 1 spec. (SIZK) Zhytomyr, Proschiga leg., 10.v.1921; 2 spec. (SIZK) idem, 21.vii.1921. Biology. Grasslands, meadows in forests. Parthenogenetic; Adults occur in IV–VIII. Polyphagous, in grass litter.

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: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.005

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 head0.027
GPT teacher head0.238
Teacher spread0.210 · 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
Published2018
Admission routes1
Has abstractyes

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