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Record W4416443132 · doi:10.5376/gab.2025.16.0007

Phylogenomic Insights into the Origin and Dispersal of Domesticated Chickens

2025· article· W4416443132 on OpenAlexvenueno aff
Xinghao Li, Xuan Jia

Bibliographic record

VenueGenomics and Applied Biology · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicLivestock and Poultry Management
Canadian institutionsnot available
Fundersnot available
KeywordsDomesticationBiological dispersalPhylogenetic treeGenomicsGenetic diversityAdaptation (eye)Range (aeronautics)

Abstract

fetched live from OpenAlex

The origin, domestication process and genetic diversity of domesticated chickens have always been important contents in the study of animal genetics and the evolution of poultry. Based on the latest achievements in phylogenetic genomics in recent years, this study sorted out the multiple independent domestication processes of domesticated chickens, the gene exchange between wild junglefowl and domesticated chickens, and the paths by which they spread from their native habitats to the world, and explored the genetic reasons for domesticated chickens to adapt to different environments and form local breeds. This study also analyzed the relationship between the geographical distribution of domesticated chickens and human migration, and expounded some representative diffusion cases in the Pacific and African regions. This study aims to provide a theoretical basis for understanding the evolutionary history and genetic structure of domesticated chickens, and also to offer a scientific basis for the protection of local chicken breeds and future breeding strategies.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.010
GPT teacher head0.224
Teacher spread0.214 · 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 designBench or experimental
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
Published2025
Admission routes1
Has abstractyes

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