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Record W7025232140

Two new synonyms in Neotropical Philonthina (Coleoptera: Staphylinidae)

2019· article· en· W7025232140 on OpenAlexaboutno aff

Bibliographic record

VenueConicet · 2019
Typearticle
Languageen
FieldMathematics
TopicDifferential Equations and Numerical Methods
Canadian institutionsnot available
Fundersnot available
KeywordsNatural historyNational Museum of Natural HistoryType (biology)National museumNatural (archaeology)Phylogenetic tree
DOInot available

Abstract

fetched live from OpenAlex

As part of an ongoing phylogenetic study on the Neotropical Philonthina (Coleoptera: Staphylinidae) that includes species of Belonuchus Nordmann, 1837, Hesperus Fauvel, 1874 and Paederomimus Sharp, 1885 (Chani Posse Ramírez Salamanca in prep.), we examined type material of species belonging to these genera as well as conspecific material from different European and North American collections. Type and non-type material were either examined by MCP during a visit to the Natural History Museum, London, UK (BMNH) or borrowed from the following institutions: Field Museum of Natural History, Chicago, IL, USA (FMNH), Museum für Naturkunde der Humboldt-Universität, Berlin, Germany (ZMHB), Naturhistorisches Museum Wien, Vienna, Austria (NMW), Canadian National Collection of Insects, Ottawa, Canada (CNC) and Snow Entomological Collection, Natural History Museum/Biodiversity Research Center, University of Kansas, Lawrence, USA (SEMC). Based on our revision of relevant material from the abovementioned collections, two new synonyms are here proposed.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0020.004
Scholarly communication0.0020.004
Open science0.0020.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.063
GPT teacher head0.368
Teacher spread0.305 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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