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Record W2787836069 · doi:10.17159/sajs.2018/a0253

Ancient human DNA: How sequencing the genome of a boy from Ballito Bay changed human history

2018· article· en· W2787836069 on OpenAlexfundno aff
Marlize Lombard, Mattias Jakobsson, Carina M. Schlebusch

Bibliographic record

VenueSouth African Journal of Science · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicForensic and Genetic Research
Canadian institutionsnot available
FundersVetenskapsrådetUniversity of TorontoNational Research FoundationKnut och Alice Wallenbergs StiftelseGöran Gustafssons Stiftelser
KeywordsBayHuman genomeAncient DNADNA sequencingDNAGenomeEvolutionary biologyBiologyWhole genome sequencingComputational biologyGeneticsGeneArchaeologyGeographyMedicine

Abstract

fetched live from OpenAlex

Being able to extract DNA and then sequence the full genomes of ancient human remains from tropical coasts is often considered precarious because of the warm, humid climate. Yet, we have now demonstrated the successful sequencing of full genomes (i.e. gaining the information of all chromosomes -including autosomes, X-chromosomes, Y-chromosomes and mitochondrial DNA) obtained from Stone Age human remains found along the tropical east coast of southern Africa. 1 With a minimalist sampling strategy, causing the least amount of morphological damage, we sequenced genome-wide data from three sets of approximately 2000-year-old human remains found 60 years ago on the Ballito and Doonside beaches of KwaZulu-Natal, South Africa. One set of remains -those of a young boy (Figure

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)0.001
metaresearch head score (Gemma)0.003
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 score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.040
GPT teacher head0.272
Teacher spread0.232 · 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

Citations11
Published2018
Admission routes1
Has abstractyes

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