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Record W2958153153 · doi:10.1126/science.aav1002

Ancient cattle genomics, origins, and rapid turnover in the Fertile Crescent

2019· article· en· W2958153153 on OpenAlexaff
Marta Pereira Verdugo, Victoria E. Mullin, Amelie Scheu, Valeria Mattiangeli, Kevin G. Daly, Pierpaolo Maisano Delser, Andrew J. Hare, Joachim Bürger, Matthew J. Collins, Ron Kehati, Paula Hesse, Deirdre N. Fulton, Eberhard Sauer, Azadeh Fatemeh Mohaseb, Hossein Davoudi, Roya Khazaeli, Johanna Lhuillier, Claude Rapin, Saeed Ebrahimi, M. M. Khasanov, S. M. Farhad Vahidi, David E. MacHugh, O. Ertugrul, Chaido Koukouli-Chrysanthaki, Αδαμάντιος Σαμψών, G. Kazantzis, Ioannis Kontopoulos, Jelena Bulatović, Ivana Stojanović, Abdesalam Mikdad, Norbert Benecke, Jörg Linstädter, Mikhail Sablin, Robin Bendrey, Lionel Gourichon, Benjamin S. Arbuckle, Marjan Mashkour, David Orton, Liora Kolska Horwitz, Matthew D. Teasdale, Daniel G. Bradley

Bibliographic record

VenueScience · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and phenotypic traits in livestock
Canadian institutionsHatch (Canada)
FundersHorizon 2020 Framework ProgrammeMuséum National d'Histoire NaturelleNatural Environment Research CouncilUniversity of TehranEuropean Research CouncilScience Foundation IrelandCentre National de la Recherche ScientifiqueIrish Centre for High-End ComputingSight Research UK
KeywordsZebuDomesticationBiologyIntrogressionMitochondrial DNAAncient DNAGenomeEvolutionary biologyIndusZoologyGeneticsEcologyGenePaleontologyPopulation

Abstract

fetched live from OpenAlex

from the Indus Valley. This process was likely stimulated at the onset of the current geological age, ~4.2 thousand years ago, by a widespread multicentury drought. In contrast to genome-wide admixture, mitochondrial DNA stasis supports that this introgression was male-driven, suggesting that selection of arid-adapted zebu bulls enhanced herd survival. This human-mediated migration of zebu-derived genetics has continued through millennia, altering tropical herding on each continent.

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 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 score0.903
Threshold uncertainty score0.165

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)0.0000.000

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 head0.008
GPT teacher head0.229
Teacher spread0.221 · 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 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

Citations238
Published2019
Admission routes1
Has abstractyes

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