Ectomycorrhizal and arbuscular mycorrhizal fungi associated with aspen (Populus tremuloides) roots yielded from Illumina sequencing
Bibliographic record
Abstract
On August 24, 2019, Justine Karst and Nadir Erbilgin sampled a 30–50 cm segment of root from each of three aspen trees within each plot at the interface of the humus layer of the forest floor and mineral soil. We traced roots from boles and confirmed their identity to be aspen by taste-testing. Sampled roots were put on ice after collection and transported to the University of Alberta the same day and stored at -20 °C prior to processing. Aspen roots were thawed and washed free of adhering soil. Fine roots (< 1 mm in diameter) were retained, cut into 1 cm fragments, mixed thoroughly in a dish of water, and subsampled for DNA sequencing of AM and EM fungal communities using Illumina. The ITS1 and SSU regions of fungal rDNA were separately amplified in two-step PCRs using primers ITS1F - ITS2 and WANDA - AML2, respectively. James Franklin performed benchwork and Joseph Birch performed bioinformatics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.022 |
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".