The influence of warming, site characterestics [sic], and host plant on root-associated fungal communities from Alexandra Fiord in the Canadian high arctic
Bibliographic record
Abstract
Arctic systems are expected to be impacted earlier and more severely by global warming than temperate ecosystems. However, much of the research on the impact of warming on arctic ecosystems has centered on plant communities. One objective of this thesis was to examine how passive warming would impact the root-associated fungal community at Alexandra Fiord, Nunavut. The root-associated fungal community consists mostly of mycorrhizal, dark-septate and hyaline-septate fungi, which are considered important mutualists in arctic ecosystems. The objective was to compare the fungal community from plots warmed by open-top chambers to ambient plots, using two methodologies: I) fungal DNA extracted directly from root tips with terminal restriction fragment length polymorphisms (T-RFLPs) used to estimate variation, and 2) fungal cultures isolated from root tips to which PCR-RFLP techniques were applied to assess variation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".