Biotic and abiotic effects on temperate tree range expansion at the boreal - temperate ecotone
Bibliographic record
Abstract
The broad-scale effects of climate change on the distribution of species around the planet \nare relatively well understood, however our predictive powers of how species ranges will \nshift and re-organise are hampered by species’ interactions with one another and their \nenvironments. An investigation into seedling emergence constraints of four northern \ntemperate tree species beyond their realised geographical niche was conducted using the \navailable literature and experimental manipulation of natural systems. Two iterations of \nthe field experiment (2015/16 & 2016/17) allowed for development and evaluation of \nexperimental design, particularly vertebrate herbivore exclosure design. Climatic \nvariables were largely unimportant drivers of model species’ ability to successfully \nemerge at experimental sites across Newfoundland, whereas biotic interactions impacted \nspecies-specific emergence, depending on reproductive strategies. Seed predation and \ncanopy composition were among the most important biotic drivers of model species’ \nemergence success.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".