Comparison of Control Region Sequencing and Fragment RFLP Analysis for Resolving Mitochondrial DNA Variation and Phylogenetic Relationships among Great Lakes Walleyes
Bibliographic record
Abstract
Direct sequencing of 513 base pairs from the control region and restriction fragment length polymorphisms (RFLP) in two fragments totaling 7.6 kilobases (fragment RFLP) that were amplified by polymerase chain reaction were used to assess mitochondrial DNA (mtDNA) variation in Great Lakes walleye Stizostedion vitreum. Our objective was to determine the effectiveness of these mtDNA markers in detecting genetic variation and resolving phylogenetic relationships among haplotypes previously identified by RFLP analysis of the entire molecule. The fragment RFLP analysis surveyed 554 base pairs and detected almost twice as many haplotypes as did the sequencing analysis. However, both approaches resulted in similar tree topologies and resolved the three major phylogenetic assemblages published in entire-molecule RFLP studies.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".