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Record W4385481971 · doi:10.1093/isd/ixad015

Phylogeography and species delimitation of the Asian cavity-nesting honeybees

2023· article· en· W4385481971 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInsect Systematics and Diversity · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsUniversity of Guelph
FundersInternational Development Research CentreU.S. Department of AgricultureNational Institute of Food and AgricultureNational Science Foundation
KeywordsApis ceranaBiologyPhylogenetic treeLineage (genetic)ZoologyPhylogeographyCladeEcologyApidaeEvolutionary biologyHymenopteraHoney Bees

Abstract

fetched live from OpenAlex

Abstract We examine phylogenetic relationships among species and populations of Asian cavity-nesting honeybees, emphasizing detection of potential unrecognized species in the geographically widespread Apis cerana Fabricius (Hymenoptera, Apidae). We carried out a phylogenetic analysis of genome-wide single nucleotide polymorphisms (SNPs) using BEASTv1.8.4 and IQ-TREE 2. Our samples cover the largest geographic area and number of populations of Asian cavity-nesting honey bees sampled to date. We used STRUCTURE, Bayes Factor Delimitation, and discriminant analysis of principal components to infer probable species among populations of cavity-nesting honeybees currently recognized as Apis cerana. Our results support 4 species within A. cerana: the yellow “plains” honeybee of India and Sri Lanka; the lineage inhabiting the oceanic Philippine islands; the Sundaland lineage found in Indonesia, Malaysia, and parts of southeast Asia; and a Mainland lineage, which we provisionally consider A. cerana in a narrow sense.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.015
Threshold uncertainty score0.397

Codex and Gemma teacher scores by category

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

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 head0.090
GPT teacher head0.184
Teacher spread0.095 · 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