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Record W2942912423 · doi:10.15560/15.3.349

Filling gaps in flower fly distributions: first record of Aneriophora aureorufa (Philippi, 1865) (Diptera, Syrphidae) from Argentina

2019· article· en· W2942912423 on OpenAlexfundno aff
Guillermo López García, Rodrigo M. Barahona‐Segovia, Noelia Maza, Martha C. Domínguez, Ximo Mengual

Bibliographic record

VenueCheck List · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicDiptera species taxonomy and behavior
Canadian institutionsnot available
FundersAgriculture and Agri-Food CanadaConsejo Nacional de Investigaciones Científicas y Técnicas
KeywordsGenusGeographyZoologyDistribution (mathematics)On the flyBiologyArchaeologyEcologyMathematics

Abstract

fetched live from OpenAlex

The genus Aneriophora Stuardo & Cortés 1952, previously considered endemic to Chile, is recorded for the first time from Argentina. Specimens of Aneriophora aureorufa (Philippi, 1865) were collected in Neuquén Province and deposited in the entomological collection of the Instituto Argentino de Zonas Áridas, Mendoza, Argentina. A diagnosis, distribution map, and photographs of A. aureorufa are provided.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

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

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 head0.014
GPT teacher head0.200
Teacher spread0.186 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

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