Bibliographic record
Abstract
Ecological developmental genetics is the study of how ecologically significant traits originate in the genome and how the allelic combinations responsible are maintained in populations and species. Plant development involves a continuous feedback between growth and environment and the success of individual genotype x environment interactions determines the passage of alleles to the next generation: the adaptive recursion. Outbreeding plants contain a large amount of genetic variation, mostly in the form of single nucleotide polymorphisms (SNPs). One of the challenges of eco-devo is to distinguish neutral SNPs from those with ecological consequences. The complete genome sequence of Populus trichocarpa Torr. & A. Gray will be a significant aid in this endeavour. Occurring from California to Alaska, this is the first ecologically 'keystone' species to be sequenced. It has a rich natural history and is an obligate outbreeder. The individual sequenced, Nisqually-1, appears to be heterozygous on average about every 100 bp over the c. 500 million bp of the genome. Overlaid on this within-individual variation is some ecologically based between-individual genotypic variation evident across the distribution of the species. The synthesis of information from genomics and ecology is now in prospect. This 'ecomolecular synthesis' is likely to provide a rich insight into the genomic basis of plant adaptation.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".