Additional file 2 of Genetic and cultural adaptations underlie the establishment of dairy pastoralism in the Tibetan Plateau
Bibliographic record
Abstract
Additional file 2: Table S2. Sample information for genomic data of dogs and wolves. Table S3. The local ancestral inference for Tibetan dogs with PCAdmix. Table S5. Lactose tolerance test and lactase persistence allele genotyping for 32 adult Tibetans. Table S6. Information of double-stranded oligonucleotide probes in EMSAs. Fig. S1. Principal component analysis showing genetic affiliation among Tibetan dogs, southern East Asian indigenous dogs, European breeds, and wolves. Fig. S2. ADMIXTURE analysis for Tibetan dogs, southern East Asian indigenous dogs, European breeds, and wolves. Fig. S3. Model selection by momi2. Fig. S4. The selected model with two pulses of gene flow and parameter estimation. Fig. S5. The admixture history of Tibetan dogs inferred by MSMC-IM. Fig. S6. Sliding window D and fdM statistics (outgroup Andean fox, European breeds; Tibetan dogs, southern East Asian indigenous dogs) around the dog lactase gene.
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 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.868 | 0.131 |
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 source (direct Gemma or distilled Codex), 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".