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Record W6950840156 · doi:10.5281/zenodo.8135390

Rosalba strandi

2023· article· en· W6950840156 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera: Cerambycidae studies
Canadian institutionsnot available
Fundersnot available
KeywordsDorsumPopulationQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

Rosalba strandi (Breuning, 1943) (Fig. 4) Aletretia strandi Breuning, 1943: 38. Remarks: Aletretia strandi was described based on a single specimen from Brazil (Minas Gerais). Currently, this species is known from the Brazilian states Minas Gerais, São Paulo, Paraná and Santa Catarina (Monné 2023; Tavakilian & Chevillotte, 2022; Bezark, 2023). The following variations, not related to geographical distribution, were found in the species: longitudinal pubescent band closer to the sutural pubescent band of the elytra entire (Fig. 4F), reaching the pubescent macula on the posterior quarter, or fragmented anteriorly (Fig. 4J); longitudinal pubescent band on middle of the dorsal surface of the elytra entire (Fig. 4F), reaching the pubescent macula on the posterior quarter, fragmented (Fig. 4J) on the posterior half of the elytra, or almost absent (Fig. 4A) on the posterior quarter of the elytra; outermost longitudinal pubescent band on the elytra entire (Fig. 4E) or interrupted about middle (Fig. 4A, 4C, 4F, 4 H-J). Material examined: PARAGUAY (new country record), Itapúa (Fig. 4 A-4D, 4F-I): Encarnación, Hotel Tirol, beating vegetation, 820 ft. -27.183437 -55.777372, 4 males, 1 female, 24-29.X.2018, L.G. Bezark leg. (3 males, 1 female, LGBC; 1 male, MZSP).

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.004

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 head0.045
GPT teacher head0.232
Teacher spread0.187 · 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
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
Published2023
Admission routes1
Has abstractyes

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