Polymorphism with Disruptiv Natural Selection in Stickleb
Bibliographic record
Abstract
lying gene. Kennedy Lake is a large, highly oligotrophic, and rate (Supplemental Experimental Procedures). Individual-than individuals with few plates (‘‘low morph’’), and intermedi-Heterozygote deficiency vanished in embryos collected from nests, indicating that assortativemating by Eda genotype*Correspondence: schluter@zoology.ubc.caplated individuals (‘‘complete morph’’) are more commonyoung lake (12,000 years) on Vancouver Island, Canada, whose stickleback were sampled previously in 1965 [6]. Armor plate number is strongly bimodal (Figure 1A). Completely ate individuals (‘‘partial morph’’) are rare. The frequency of armor morphs has changed little between samples taken based population assignment [24] with these loci strongly sup-ported a single genetic cluster (Pr[K = 1] = 0.99). Moreover, the differences inmicrosatellite allele frequencies between the low and complete lateral-plate morphs explained less than 1 % of the total allelic variation (FST = 0.008), similar to estimates of FST between stickleback populations experiencing high levels of gene flow [25]. These findings indicate that armor pheno-types belong to a single, panmictic population.Maintenance of a Genetic
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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 | 0.000 | 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) | 0.002 | 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 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".