Genetic variation in Pinus banksiana populations from the Sudbury (Ontario, Canada) region
Bibliographic record
Abstract
Summary Genetic variation within and among jack pine (Pinus banksiana) populations from heavy metal ‐ contaminated and uncontaminated areas in the Sudbury (Ontario, Canada) region was investigated using random amplified polymorphic markers (RAPDs). DNA samples from individual trees were analyzed using 15 oligonucleotides of random sequence. Eight of these primers allowed amplifications of random polymorphic (RAPD) loci. Close genetic relationships among jack pine populations from contaminated and uncontaminated sites were observed. Overall 26% of the scored loci were polymorphic. The analysis of molecular variance revealed that the within -group (among individuals) variations accounted for 63.3 % of the total molecular variance. The difference among populations which explained 36.7% of total variation was statistically significant and higher than RAPD variations reported in P. resinosa. The jack pine trees were easily distinguished from red pine trees using RAPD markers. RAPD markers specific to P. banksiana were also identified.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".