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Evolution of genes and genomes on the Drosophila phylogeny
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Elizabeth Goode, Shailendra Yadav, Rachel Mittelman, Rakela Lubonja, Georgia Giannoukos, Atanas H. Mihalev, Nabil Hafez, Talene Thomson, Lynne Aftuck, Diallo Ferguson, Charlotte Henson, Susan Faro, Jamal Abdulkadir, Jonathan Butler, Nathaniel Novod, Senait Tesfaye, Lisa Zembek, A Franke, Yama Cheshatsang, Brian Hurhula, Nicole Stange-Thomann, Susan McDonough, Harindra Arachi, Niall J. Lennon, Leonidas Mulrain, William McCusker, Toby Bloom, Sampath Settipalli, Michael Weiand, Sahal Osman, Loryn Gadbois, Nyima Norbu, Brikti Abera, Andy H. Vo, Otero L. Oyono, Keenan Ross, Christina R. DeMaso, Oana Mihai, Ben Kanga, Jennifer Baldwin, Adal Abebe, Sheridon Channer, Joseph Graham, Jason Blye, Claude Bonnet, Boris Boukhgalter, Zac Zwirko, Michael Kleber, Magne Husby, Peter An, Margaret Priest, Monika D. Huard, Peili Zhang, William M Gelbart, Angela N. Brooks, Venky N. Iyer, Daniel A Pollard, Alfredo Villasanté, José P. Abad, María Méndez-Lago, Kristi L. Montooth, Dawn N. 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Bibliographic record
VenueNature · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsUniversity of AlbertaUniversity of WinnipegArtificial Intelligence in Medicine (Canada)McMaster University
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentU.S. National Library of MedicineNational Institute of General Medical SciencesNational Human Genome Research InstituteBiotechnology and Biological Sciences Research CouncilNational Institutes of HealthNatural Environment Research CouncilSight Research UKBroad Institute
KeywordsBiologyGenomeEvolutionary biologyDrosophila virilisDrosophila pseudoobscuraDrosophila (subgenus)Human evolutionary geneticsGeneticsPhylogenetic treeDrosophila melanogasterPhylogeneticsMelanogasterComparative genomicsGeneGenomics
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 head0.006
GPT teacher head0.228
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine 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 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
Citations2,113
Published2007
Admission routes1
Has abstractno