A Million Years of Mammoth Mitogenome Evolution.
Bibliographic record
Abstract
Acknowledgements: Funding was provided to L.D. through the Swedish Research Council (2021-00625) and the European Union (ERC, PrimiGenomes, 101054984). J.C.C.D. acknowledges funding from the European Union's Horizon Europe Programme under the Marie Skłodowska-Curie Actions Postdoctoral Fellowships (101111414). M.H. and J.A.T.T. were supported by the Natural Environment Research Council, United Kingdom (NE/J009342/1). P.D.H. was supported by the Knut and Alice Wallenberg Foundation (KAW 2021.0048 and KAW 2022.0033). M.S. supported by grant 075-15-2021-1069. A.G. and J.C.C.D. were financially supported by the Swedish Research Council (2019–00849). The authors acknowledge support from Science for Life Laboratory (SciLifeLab), the National Genomics Infrastructure (NGI) funded by the Swedish Research Council, and the computational resources provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS) at the Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX), which is partially funded by the Swedish Research Council through grant agreement no. 2022-06725. We also thank Jonas Oppenheimer (UCSC, US) for support replicating the analyses from van der Valk et al. (2021), Edana Lord (Centre for Palaeogenetics, Sweden) for advice on molecular clock dating, André Soares (NBIS, Sweden) for support with the iterative assembly of mitogenomes, Andrei Sher (posthumous) for having collected some of the samples, Neil Clark (Hunterian Museum, UK) and Annelise Folie (RBINS, Belgium) for providing access to samples. Fossil mammoth samples from the Yukon Territory were collected from the Traditional Territories of the Vuntut Gwitchin, Na-Cho Nyäk Dun, and Tr’ondëk Hwëch’in.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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.
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 teacher head, not a consensus.
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".