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Record W2313947251 · doi:10.7211/jjsrt.34.85

Predicting potential distribution of Thelypteris dentata and the changes based on climate change scenario.

2008· article· en· W2313947251 on OpenAlexaff
Masahiro Horikawa, Kentaro MURAKAMI, Ikutaro Tsuyama, Takashi Oyabu, Tetsuya Matsui, Yukihiro MORIMOTO, Nobuyuki Tanaka

Bibliographic record

VenueJournal of the Japanese Society of Revegetation Technology · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsAlpha Technologies (Canada)
Fundersnot available
KeywordsClimate changeEnvironmental scienceDistribution (mathematics)Atmospheric sciencesPhysical geographyGeographyBiologyPhysicsEcologyMathematics

Abstract

fetched live from OpenAlex

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。

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.440

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.225
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Japanese Society of Revegetation TechnologySame topicSpecies Distribution and Climate ChangeFrench-language works237,207