Genetic variability at allozyme markers in sycamore (<i>Acer pseudoplatanus</i>) populations from northwestern Italy
Bibliographic record
Abstract
Genetic diversity and differentiation of 12 native populations of sycamore ( Acer pseudoplatanus L.) from northwestern Italy were investigated by means of variation detected in 10 polymorphic isozyme systems encoded by 16 loci. The trees showed relatively large genetic variability (mean number of alleles per locus = 2.78, effective number of alleles per locus = 1.47, percentage of polymorphic loci = 96.9, expected heterozygosity = 0.280) but small interpopulational variation (FST= 0.019), suggesting the presence of a single gene pool. A slight excess of heterozygotes was found, and the overall inbreeding coefficient (FIS) was –0.038. There was a positive correlation between the age of the individuals sampled and heterozygosity, suggesting the occurrence of natural selection against homozygotes. No significant correlation was detected between genetic and geographic distances of populations, confirming the lack of any barriers to gene flow. Estimate of the mean effective number of migrants exchanged between populations was 4.399, based on the private alleles method. The contribution of the results in relation to terms of the most appropriate strategies to preserve genetic variability of sycamore and to collect forest reproductive material is discussed.
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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 | 0.001 | 0.001 |
| 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 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".