Three microsatellite multiplex PCR assays allowing high resolution genotyping of white spruce, Picea glauca
Bibliographic record
Abstract
Abstract Fifteen previously published microsatellite primer pairs developed for and tested on Canadian white spruce were screened for amplification and polymorphy in Alaskan populations and tested for their suitability in PCR multiplexing. Eleven loci expressing polymorphisms ranging from 7 to 58 alleles were selected for development and optimization of three multiplex assays. Four natural stands containing a total of 1470 trees were used to characterize the selected loci and demonstrate their applicability for genotyping studies and parentage analysis. These assays can be used for studies focusing on population genetics, parentage analysis, provenance research, or individual genetic fingerprinting. The use of multiplex PCR facilitates large-scale studies by simultaneously enabling high resolution and reducing processing time and per sample cost.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".