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Record W2316930390 · doi:10.1515/mammalia-2015-0019

Morphology and mitochondrial gene divergence in <i>Hipposideros armiger armiger</i> occurs only in China

2016· article· en· W2316930390 on OpenAlexfundno aff
Yanzhen Bu, He Xinping, Huixian Zhou, Hongwei Zhou, Zongxiao Zhang, Chan Zhang, Hongxing Niu

Bibliographic record

VenueMammalia · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsnot available
FundersNational Natural Science Foundation of ChinaOntario Council on Graduate Studies, Council of Ontario UniversitiesInnovative Research Group Project of the National Natural Science Foundation of China
KeywordsDivergence (linguistics)Morphology (biology)BiologyChinaZoologyGeographyPhilosophy

Abstract

fetched live from OpenAlex

Abstract In China, the status of Hipposideros armiger subspecies remains controversial. To elucidate the H. armiger taxonomy, we conducted a series of surveys of bats in different areas of China between 2011 and 2014. Bats were characterized by 16 external measurements, 25 skull measurements and the sequence analysis of two mitochondrial genes (cytochrome- b and D-loop). Our research indicated that the external and cranial measurements were similar in the samples from the six geographic regions. No obvious differences were detected in H. armiger morphology. Additionally, no significant cytochrome-b sequence divergence existed between the samples within a region (0–0.9%) and among the six regions (0–1.8%). The results obtained for the D-loop were similar, with 0–3.4% divergence within a region and 0–4.5% among the six regions. Moreover, no significant geographic differentiation was observed in the phylogenetic trees. Based on these morphological and molecular results, H. armiger is represented in China by only one subspecies, H. a. armiger .

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.217
Teacher spread0.206 · 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.

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

Citations2
Published2016
Admission routes1
Has abstractyes

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