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Record W3005538015 · doi:10.1016/j.dib.2020.105276

Next generation sequencing data in the phylogenetic relationships of the genus Molossus (Chiroptera, Molossidae)

2020· article· en· W3005538015 on OpenAlexafffund
Lívia O. Loureiro, Mark D. Engstrom, Burton K. Lim

Bibliographic record

VenueData in Brief · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsUniversity of TorontoRoyal Ontario MuseumHospital for Sick ChildrenSickKids Foundation
FundersAcademy of Natural Sciences of Drexel UniversityRoyal Ontario MuseumCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorConservation International
KeywordsPhylogenetic treeBiologyCoalescent theoryEvolutionary biologyPhylogeneticsTaxonomy (biology)ZoologyGeneticsGene

Abstract

fetched live from OpenAlex

The mastiff bat Molossus is a broadly distributed genus within the family Molossidae. Molossus includes groups of species that are either morphologically or genetically very similar, rendering the taxonomy of this genus confusing and unstable. In this paper, we provide inferred phylogenetic relationships of Molossus based on the genotype by sequencing approach from 189 specimens of three species of New World mastiff bats (Molossus, Promops, and Eumops). We also present data on divergent tree topologies produced by alignments using de novo and reference genome approaches and distinct phylogenetic methods (maximum likelihood and coalescent approaches). These data provide the first highly resolved phylogenetic tree for Molossus, not recovered by previous studies using Sanger sequencing. Our dataset brings new insights on relationships among species and show how different approaches might affect phylogenetic resolution and topologies.

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 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)0.001
metaresearch head score (Gemma)0.001
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 score0.060
Threshold uncertainty score0.763

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.290
GPT teacher head0.277
Teacher spread0.013 · 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 teacher head, 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

Citations7
Published2020
Admission routes2
Has abstractyes

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