Fire cycle of the Canada＇s boreal region and its potential response to global change
Bibliographic record
Abstract
火的相互作用骑车，植物硬币的繁殖特征能决定一处风景的植被分发模式。在加拿大的北方的区域，火在小冰川期前骑车(c。1850 年代) 以后从 30-130 年和 25-234 年直到解决时期(c。1930 年代) 什么时候更长发射周期，响应气候变迁和人的干扰发生了。分析显示火周期与生长期(4 月 10 月) 被相关从 1961-1990 正常的温度和降水离开，由区域变化。假设野火将在过去的世纪，用气候变迁情形 CGCM1 的一个评价， CGCM2 和 HadCM2 期间对类似于方式的温暖的未来作出回应显示周期将在西方泰加森林盾转移到 80-140 年的一个范围的火，为北方的盾和东方泰加森林防护的东方的超过 700 年，和为在 2050 的北方的平原的 300-400 年。
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".