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The genome sequence of the Loggerhead sea turtle, Caretta caretta Linnaeus 1758

2023· preprint· en· W4382460780 on OpenAlexafffund
Glenn Chang, Samantha Jones, Sreeja Leelakumari, Jahanshah Ashkani, Luka Culibrk, Kieran O’Neill, Kane Tse, Dean Cheng, Eric Chuah, Helen McDonald, Heather Kirk, Pawan Pandoh, Sauro Pari, Valeria Angelini, Christopher J. Kyle, Giorgio Bertorelle, Yongjun Zhao, Andrew J. Mungall, Richard A. Moore, Sibelle Torres Vilaça, Steven J.M. Jones

Bibliographic record

VenueF1000Research · 2023
Typepreprint
Languageen
FieldEnvironmental Science
TopicTurtle Biology and Conservation
Canadian institutionsTrent UniversityCanada's Michael Smith Genome Sciences CentreGenome British ColumbiaUniversity of British Columbia
FundersEuropean CommissionGenome Canada
KeywordsBiologyTurtle (robot)GenomeWhole genome sequencingEvolutionary biologySequence (biology)Sequence assemblyGeneticsGeneFisheryTranscriptome

Abstract

fetched live from OpenAlex

(the Loggerhead sea turtle; Chordata, Testudines, Cheloniidae), generated from genomic data from two unrelated females. The genome sequence is 2.13 gigabases in size. The assembly has a busco completion score of 96.1% and N50 of 130.95 Mb. The majority of the assembly is scaffolded into 28 chromosomal representations with a remaining 2% of the assembly being excluded from these.

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)0.002
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 score0.059
Threshold uncertainty score0.930

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0030.005
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.101
GPT teacher head0.332
Teacher spread0.231 · 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

Citations10
Published2023
Admission routes2
Has abstractyes

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