Predicting potential distribution of Thelypteris dentata and the changes based on climate change scenario.
Bibliographic record
Abstract
イヌケホシダの分布データと現在の気候データより分類樹モデルを構築し，現在の分布を規定する気候要因とその閾値を推定した。また，現在と気候変化シナリオ（RCM20）の気候分布から日本全域の分布適域を予測し，分布変化の予測を行った。分類樹モデルおよびその分離貢献度，予測した現在の分布適域より，分布を規定する気候要因は大きくはWI，PRS（夏期降水量）であり，地域的にPRW（冬季降水量）とTMC（最寒月最低気温）が分布を規定していた。現在の分布適域の2次メッシュセル数は1,388であり， 2031～2050年と2081～2100年では，2,179と2,813セルであった。分布適域は2081～2100年に，中部地方から関東・東北にかけての脊梁山脈と北上高地を除く日本全域に広がり，本州最北端までの北上が予想された。
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".