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Record W4320725708 · doi:10.21829/azm.2023.3912484

Termites (Blattodea: Isoptera) of Canada, continental USA, and Mexico: an identification key to families and genera, checklist of species, and new records for Mexico

2023· article· en· W4320725708 on OpenAlexaboutno aff
Manuel de Luna, Rudolf H. Scheffrahn, Roberto García-Barrios, Gerardo Cuéllar-Rodríguez

Bibliographic record

VenueACTA ZOOLÓGICA MEXICANA (N S ) · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect and Arachnid Ecology and Behavior
Canadian institutionsnot available
FundersUniversidad de Guadalajara
KeywordsBlattodeaFaunaBiologyChecklistIdentification keyEcologyRhinotermitidaeTermitidaeZoologyGeographyGenusPaleontology

Abstract

fetched live from OpenAlex

An illustrated identification key to the North American termite families and genera based mainly on the soldier caste is proposed. A checklist of termites (Insecta: Blattodea: Isoptera) of Canada, continental USA and Mexico is presented, listing 89 species (and two subspecies) grouped in 26 genera and four families. Five species are added to the Mexican termite fauna, these records are for the states of Campeche: Cryptotermes cavifrons; Quintana Roo: Cryptotermes cavifrons, Neotermes holmgreni, Neotermes phragmosus, Neotermes mona; Sonora: Incisitermes banksi; and Yucatan: Neotermes phragmosus. Other 32 new state records are made for the states of Aguascalientes, Baja California Sur, Campeche, Chiapas, Jalisco, Nuevo Leon, Oaxaca, Quintana Roo, Sonora, and Yucatan. The species Coptotermes crassus, Coptotermes havilandi, Incisitermes perparvus, Microcerotermes strunckii, Nasutitermes costalis, Incisitermes nigritus and Termes melindae are eliminated from the termite fauna of this region.

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 score0.250
Threshold uncertainty score0.504

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.018
GPT teacher head0.254
Teacher spread0.236 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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