MétaCan
Menu
Back to cohort
Record W6968710488 · doi:10.5281/zenodo.3846300

Canthon machadoi Cupello & Vaz-De 2018, comb. nov.

2018· article· en· W6968710488 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSubterranean biodiversity and taxonomy
Canadian institutionsnot available
Fundersnot available
KeywordsEtymologyParatypeBiographyPortugueseSign (mathematics)

Abstract

fetched live from OpenAlex

Canthon machadoi (Martínez & Pereira, 1967) comb. nov. Fig. 46 B–C Glaphyrocanthon machadoi Martínez & Pereira, 1967: 53–55 Glaphyrocanthon machadoi – Halffter & Martínez 1977: 63. Sylvicanthon machadoi – Halffter & Martínez 1977: 63. — Vaz-de-Mello 2000: 195. — Silva et al. 2007: 230. — Costa et al. 2009: 91. Canthon machadoi – Krajcik 2012: 64. Etymology The specific name refers to the Brazilian odonatologist Ângelo B.M. Machado, collector of the type series (Martínez & Pereira 1967). Pinto (2016) presented an interesting short biography of Ângelo Machado. Material examined Paratypes (4 ♂♂, 1 ♀) BRAZIL: 1 ♂ (“ Glaphyrocanthon / machadoi sp. n / Martinez - / P. Pereira det. 60 ”, “PARATIPO”, “PARATYPE”, “ Pernambuco / S. Negra / V.960 / A. Machado ”, “Canadian Museum of / Musée canadian de la / NATURE / CMNEN 0012690 ”) (CMNC); 1 ♀ (“ Pernambuco / S. Negra / V.960 / A. Machado ”, “ Glaphyrocanthon / machadoi sp. n / Martinez - / P. Pereira det. 60 ”, “PARATIPO”, “ PARATYPE ”, “♀”, “H. & A. HOWDEN / COLLECTION / ex A. Martínez coll.”, “Canadian Museum of / Musée canadian de la / NATURE / CMNEN 00019066 ”) (CMNC); 1 ♂ (“ Pernambuco / S. Negra / V.960 / A. Machado ”, “ Glaphyrocanthon / machadoi sp. n / Martinez - / P. Pereira det. 60 ”, “♂”, “PARATIPO”) (MZS); 1 ♂ (“ Pernambuco / S. Negra / V.960 / A. Machado ”, “ Glaphyrocanthon / machadoi sp. n / Martinez - / P. Pereira det. 60 ”, “♂”, “PARATIPO”) (MZSP); 1 ♂ (“ Pernambuco / S. Negra / V.960 / A. Machado ”, “ Glaphyrocanthon / machadoi sp. n / Martinez - / P. Pereira det. 60 ”, “♂”, “PARATIPO”) (MZSP). Collecting sites BRAZIL. Pernambuco: Reserva Biológica de Serra Negra. Comments The eight specimens of the type series of C. machadoi are the only known individuals of this species, which is apparently endemic to a ‘ brejo de altitude ’ (Caatinga moist-forest enclave) in the Brazilian state of Pernambuco. However, only five of those specimens were found during this work: three male paratypes housed at the MZSP, and a male and a female paratype at the CMNC. Martínez & Pereira (1967) mentioned the holotype male and allotype female of C. machadoi were deposited at the “author’s collection”, without specifying which of the authors. As said earlier in this work, Martínez’s holotypes and allotypes are nowadays housed at the MACN, while paratypes and ordinary specimens were incorporated to the CMNC via the Henry and Anne Howden collection. In none of them, however, either the holotype or the allotype of C. machadoi is preserved. Therefore, the whereabouts of those two specimens is unknown to us. As for the fifth male paratype, Martínez & Pereira (1967) stated it was deposited in the personal collection of its collector, Ângelo Machado (Belo Horizonte, Minas Gerais, Brazil), and it is probably still housed there.

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)0.001
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: none
Teacher disagreement score0.034
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.004

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 head0.060
GPT teacher head0.210
Teacher spread0.150 · 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

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicSubterranean biodiversity and taxonomyFrench-language works237,207