The genomic basis of adaptation in threespine stickleback fish
Bibliographic record
Abstract
Evolutionary biology consists in the study of the evolutionary processes responsible of the diversification and adaptation of life forms over time. When adapting to a new environment (or changes in their local environment), populations have to adapt through natural selection. Until recently, the study of adaptation was focusing on fathoming the consequences of natural selection at the phenotypic level and how phenotypic evolution is linked to genetic changes. The development of new genetic and genomic tools in the last 20 years, like high-throughput sequencing technologies, now allows the construction of reference genomes in a variety of non-model organisms and the investigation of the genomic basis of adaptation. In my thesis, I investigated the genomic basis of adaptation by exploring the consequences of natural selection at the molecular level using the threespine stickleback fish (Gasterosteus acualeatus) as a model. \nIn more detail, my work focused on three main topics: the genomic basis of parallel adaptation to acidic versus basic lochs of North Uist (Outer Hebrides, Scotland); the maintenance of standing genetic variation in Atlantic stickleback fish, and the characterization of reproductive isolation at the genomic level between parapatric stickleback populations of the Misty watershed (Vancouver Island, British Columbia, Canada). \n
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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 | 0.000 |
| 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".